Question by Statistics-And-Probability

All "Statistics-And-Probability" Questions

let (Xy) have a vorfarm distribution on the unit circle n. the plane Y are not indeperdert let (Xy) have a vorfarm distribution on the unit circle n. the plane Y are not indeperdert

Seen 2 years ago Harry Callum 1 answers

/quiz?quiz action-takeQuiz&quiz probduid ONAPCOA8010100000049bacfc00900008ctx-japaulson-00128ck-m 1554308693405 0AA 6. Analysis of variance with unequal sample sizes Mental health professionals often use structured interviews when diagnosing patients. A director of a mental health clinic would like to compare the effectiveness of three different diagnostic interviews in diagnosing post-traumatic stress disorder: the Structural Clinical Interview for DSM Disorders (SCID), which is the gold standard for a psychiatric diagnosis by a trained clinician; the Clinician-Administered PTSD Scale (CAPS), which is the gold standard in post-traumatic stress disorder assessment; and the Schedules for Clinical Assessment in Neuropsychiatry (SCAN), a semistructured diagnostic interview administered by clinically trained interviewers. The clinic director performs an experiment in which 12 clinical psychology interns are randomly assigned to three groups: the first consisting of 3 interns, the second 4 interns, and the third 5 interns. Interns in the first group are trained to diagnose patients using SCID, interns in the second group are trained to diagnose patients using CAPS and interns in the third group are trained to diagnose patients using SCAN. After traning, each intern's diagnostic accuracy is recorded using a seven-point scale The data and means for the diagnostic accuracy scores for each of the three groups are presented in the table below Diagnostic Interviews Group 1 Group 2 Group 3 SCID CAPS SCAN 4.62564 5.26 5.31 5.27 5.53 4.81 4,82 4.63 4.57 4.74 5.29 nj Mean Grand Mean(gm) 4.9067 5.43754.8040 5.0408 The sample sizes in the experiment above are e/quiztquiz actionstakeQuiz&quiz probduid-ONAPCDA8010100000049bacfc00900008 cte-japaulson-00128ck-m 1554308693405 ne sampie sizes in the experiment apove are The three diagnostic interviews define three populations of interest. You will use analysis of variance (ANOVA) to test the hypothesis that the three population means are equal. The results of your analysis will be presented in the ANOVA table below ANOVA Table Source SS Groups Error Total df MS 0.3587 0.4444 1.1508 Go through the following steps to complete the ANOVA table. (Hint: Your answers will be most accurate if you do not round at intermediate steps. However, if you must round, round to at least two decimal places more than the number of decimals desired in your final answer.) 1. Enter the value of the total sum of squares, sum of squares due to groups, and then the sum of squares due to error in the ANOVA table. 2. Enter all of the degrees of freedom in the ANOVA table. 3. Enter the values of the mean square for groups, the mean square for error, and the F-test statistic in the ANOVA table. F Distribution We were unable to transcribe this image /quiz?quiz action-takeQuiz&quiz probduid ONAPCOA8010100000049bacfc00900008ctx-japaulson-00128ck-m 1554308693405 0AA 6. Analysis of variance with unequal sample sizes Mental health professionals often use structured interviews when diagnosing patients. A director of a mental health clinic would like to compare the effectiveness of three different diagnostic interviews in diagnosing post-traumatic stress disorder: the Structural Clinical Interview for DSM Disorders (SCID), which is the gold standard for a psychiatric diagnosis by a trained clinician; the Clinician-Administered PTSD Scale (CAPS), which is the gold standard in post-traumatic stress disorder assessment; and the Schedules for Clinical Assessment in Neuropsychiatry (SCAN), a semistructured diagnostic interview administered by clinically trained interviewers. The clinic director performs an experiment in which 12 clinical psychology interns are randomly assigned to three groups: the first consisting of 3 interns, the second 4 interns, and the third 5 interns. Interns in the first group are trained to diagnose patients using SCID, interns in the second group are trained to diagnose patients using CAPS and interns in the third group are trained to diagnose patients using SCAN. After traning, each intern's diagnostic accuracy is recorded using a seven-point scale The data and means for the diagnostic accuracy scores for each of the three groups are presented in the table below Diagnostic Interviews Group 1 Group 2 Group 3 SCID CAPS SCAN 4.62564 5.26 5.31 5.27 5.53 4.81 4,82 4.63 4.57 4.74 5.29 nj Mean Grand Mean(gm) 4.9067 5.43754.8040 5.0408 The sample sizes in the experiment above are
e/quiztquiz actionstakeQuiz&quiz probduid-ONAPCDA8010100000049bacfc00900008 cte-japaulson-00128ck-m 1554308693405 ne sampie sizes in the experiment apove are The three diagnostic interviews define three populations of interest. You will use analysis of variance (ANOVA) to test the hypothesis that the three population means are equal. The results of your analysis will be presented in the ANOVA table below ANOVA Table Source SS Groups Error Total df MS 0.3587 0.4444 1.1508 Go through the following steps to complete the ANOVA table. (Hint: Your answers will be most accurate if you do not round at intermediate steps. However, if you must round, round to at least two decimal places more than the number of decimals desired in your final answer.) 1. Enter the value of the total sum of squares, sum of squares due to groups, and then the sum of squares due to error in the ANOVA table. 2. Enter all of the degrees of freedom in the ANOVA table. 3. Enter the values of the mean square for groups, the mean square for error, and the F-test statistic in the ANOVA table. F Distribution

Seen 1 years ago Ava Linda 1 answers

Homework 6-519-Excel e Home Insert Draw Page Layout Formulas Data Review View Developer Help Tell m 6 The two samples below are independent from Normal populations with equal variances. Reject HO a Sep 4 HO Step6 Step TPain he P-value P-value Qurmona, Coratrue.30% contdencernervalsortie dilerencenpopdanon mean, State the Cirtermaa, 2-1 HWNotes HWExcelDirections HW Camera Worldorce Razor Homework 6-519-Excel e Home Insert Draw Page Layout Formulas Data Review View Developer Help Tell m 6 The two samples below are independent from Normal populations with equal variances. Reject HO a Sep 4 HO Step6 Step TPain he P-value P-value Qurmona, Coratrue.30% contdencernervalsortie dilerencenpopdanon mean, State the Cirtermaa, 2-1 HWNotes HWExcelDirections HW Camera Worldorce Razor

Seen 2 years ago Oscar Rhys 1 answers

A researcher conducts an experiment on human memory and recruits 15 people to participate in her study. She performs the experiment and analyzes the results. She uses a t-test for a mean and obtains a p-value of 0.17. Which of the following is a reasonable interpretation of her results? This suggests that her experimental treatment has no effect on memory. If there is a treatment effect, the sample size was too small to detect it. She should reject the null hypothesis. There is evidence of a small effect on memory by her experimental treatment.

Seen 1 years ago Charlie Kyle 1 answers

According to a survey of 850 Web users from Generation Y. 459 reported using the Internet to download music. a. Determine the sample proportion b. At the 5% significance level, do the data provide sufficient evidence to conclude that a majority of Gerwration Y Web users use the Internet to download music? Use the one-proportion Z-test to perform the appropriate hypothesis test, after checking the conditions for the procedure. a. The sample proportion is 54. (Type an integer or a decimal.) b. What are the hypotheses for the one-proportion Z-test? Hip-HPD (Type integers or decimals.)

Seen 1 years ago Ava Linda 1 answers

Based on the data shown below, calculate the correlation coefficient (to three decimal places)
x y 5 13.95 6 15.44 7 17.93 8 17.12 9 16.91 10 18.7 11 20.09 12 18.68 13 21.27 14 20.26 15 21.35 16 20.74 17 23.23 18 23.62 19 20.71

Seen 1 years ago George Reece 1 answers

A fair 6-sided die is rolled three times. Which is more likely: a sum of 11 or a sum of 12? Answer the question by calculating the probabilities for both. Thint 1] There are multiple ways to solve this problem. You may list all the favorable permutations to get the sum. However, this might be tedious and more error-prone. An easier way is to list only the favorable combinations (i.e., 3 numbers regardless of their order), and then find out the corresponding numbers of permutations for each combination. [hint 2] In a combination in which two numbers are the same (e.g., 2, 5, 5), there are 3 corresponding permutations (2-5-5, 5-2-5, and 5-5-2).

Seen 2 years ago George Reece 1 answers

The regressions Y = BO + B1X1 + B2X2 + B3X3 + B4X4 + ε and Y = BO + B1X1 + B2X2 + ε were run using a sample of 30 observations. The SSE for the first regression is 298.4 and 382.3 for the second regression. Test HO : 33 = B4 = 0. Select one: O a. Reject HO at a = 0.025 O b. Reject HO at a = 0.01 O c. Fail to reject HO at a < 0.10 O d. Reject HO at a = 0.05

Seen 2 years ago Harry Callum 1 answers

(5 points) A recent poll of 2100 randomly selected 18-25-year-olds revealed that 243 currently use marijuana or hashish. According to a publication, 12.7 % of 18-25-year-olds were current users of marijuana or hashish in 1997. Do the data provide sufficient evidence to conclude that the percentage of 18-25-year-olds who currently use marijuana or hashish has changed from the 1997 percentage of 12.7%? Use a = 0.05 significance level. (Give final answers correct to *four* decimal places) test statistic z = positive critical z score negative critical z score The final conclusion is A. There is not sufficient evidence to conclude that the percentage of 18-25-year-olds who currently use marijuana or hashish has changed from the 1997 percentage of 12.7%. B. There is sufficient evidence to conclude that the percentage of 18-25-year-olds who currently use marijuana or hashish has changed from the 1997 percentage of 12.7%.

Seen 1 years ago sla Bethany 1 answers

Question 2 of 2 -/15 View Policies Current Attempt in Progress Arandom sample of 1500 residential telephones in Phoenix found that 380 of the numbers were unlisted. A random sample in the same year of 1200 telephones in Scottsdale found that 315 were unlisted. Round your answers to four decimal places (e.g.98.7654). (a) Calculate a 95% two-sided confidence interval on the difference in the proportions of unlisted numbers between the two cities. Sp1-p2s (b) Is there a significant difference between the two proportions at a = 0.05? (c) Calculate a 90% two-sided confidence interval on the difference in the proportions of unlisted numbers between the two cities. Sp1-p2s Statistical Tables and Charts e Textbook and Media Save for Later Attempts: 0 of 3 used Submit Answer

Seen 1 years ago William Damian 1 answers

n a call centre, the number of calls an attendant answers follows a Poisson istribution with a mean of 5 calls per hour. The company has 8 attendants. a) What is the probability that an attendant answers only one call in one hour? b) What is the probability that two (out of the eight) attendants answer only one call in one hour?

Seen 2 years ago Adams 1 answers

please show work.. also how to get answer on stat crunch A group of students estimated the length of one minute without reference to a watch or clock, and the times (seconds) are listed below. Use a 0.0 significance level to test the claim that these times are from a population with a mean equal to 60 seconds. Does it appear that students are reasonably good at estimating one minute? 77 93 49 71 51 32 71 72 78 56 73 79 105 96 730 O A. Ho: p = 60 seconds H:#60 seconds OC. Ho: u#60 seconds H: 4 = 60 seconds OB. Ho: u = 60 seconds Hu>60 seconds OD. Ho: u = 60 seconds Hu

Seen 2 years ago Oscar Rhys 1 answers

U Question 5 4 pts The director of a hospital wishes to estimate the mean number of people who are ditted to the emergency room during a 24-hour period. The director randomly selects 36 different 24-hour periods and determines the number of admissions for cach. For this sample, sample mean I 16.2. It is known that the number of missions follow a normal distribution with o-4. Estimate the mean number of admissions per 24-hour period with a 90% confidence interval. 16.2 1.097 16.2 1.183 16.2 1.600 16.2 I 4.387 Previous Next

Seen 2 years ago Lam Williams 1 answers

Question 10of 12 Step 8 of 10 00:09 16 A manager for an insurance company beleves that customers have th 30 % prefer Universal Life, and 50 % sales manager's cdaimed proportions of customers who prefer each product using the data? e following preferences tor fe insurar ce products 20 %prefer week. prefer Life Annuities The results or a survey of 271 customers were tabulated. possble to refute the Product Number Whole 134 Universal11 Arnnuities 26 Copy Data Step 8 of 10: Find the critikal value of the test at the 0.025 level of significance. Round your answer to three decimal places Answerow to Ener 2 Points i KeypadmTables

Seen 2 years ago Madison 1 answers

A publisher reports that 72% of their readers own a personal computer. A marketing executive wants to test the claim that the percentage is actually over the reported percentage. A random sample of 380 found that 76% of the readers owned a personal computer. Is there sufficient evidence at the 0.01 level to support the executive's claim? Step 1 of 6: State the null and alternative hypotheses. Step 2 of 6: Find the value of the test statistic. Round your answer to two decimal places. Step 3 of 6: Specify if the test is one-tailed or two-tailed. Step 4 of 6: Determine the decision rule for rejecting the null hypothesis, H0. Reject H0 if Z>... Step 5 of 6: Make the decision to reject or fail to reject the null hypothesis. Step 6 of 6: State the conclusion of the hypothesis test, is there or is there not sufficient evidence to support the claim that the percentage of readers who own a personal computer is over 72%

Seen 2 years ago Amelia Margaret 1 answers

Suppose that X1, X, ..., Xn are a sequence of i.i.d. Exponential() variables. Use the delta method to approximate the distribution of 1/X.

Seen 1 years ago Tremblay Morton 1 answers

3. 125 ptj In a multiple logistic regression model, the outcome of interest is the presence of liver cirrhosis (Y/N). Covariates include liver albumin (g/dL) and genotype (A, B and C set A as the reference level). The following results were obtained: SE 0.20 0.11 Coefficient (B) Intercept Albumin Genotype B Genotype C -0.25 0.53 0.23 0.25 0.07 (a) Write down the math form of the model. Define all elements. (b) Conduct a hypothesis test for the effect of albumin. (c) Interpret the effect of genotype (d) For a patient with albumin 3g/dL and genotype B, what is the estimated probability of cirrhosis? (e) Next, you fitted another model that does not include the genotype factor. The model fit result is: Intercept 1.42 Albumin Coefficient (B) ISE 0.21 0.05 0.10 Based on these results, comment on the relationship between albumin, genotype and cirrhosis.

Seen 2 years ago Gagnon Martin 1 answers

In a survey, 15 people were asked how much they spent on their child's last birthday gift. The results were roughly bell-shaped with a mean of $39 and standard deviation of $6. Find the margin of error at a BOX confidence level. Give your answer to two decimal places. Question 18 There was a research article that reported a correlation of +0.7 between GPA and IQ. It also reports a correlation of -0.7 between GPA and a Stress Evaluation score. Which of the following interpretations is the most correct? Please explain your choice. The correlation of +0.7 is just as strong as the correlation of -0.7. It is impossible to tell which correlation is stronger The correlation of +0.7 indicates a stronger relationship than the correlation of -0.7.

Seen 1 years ago Gelbero Wilson 1 answers

please answer all questions 12-15 Question 12 2 pts The phrase statistically significant means that the op value associated with the test statistic is greater than the p level chosen o research finding is of practical importance o sample mean is larger than the population mean o data differ from what we would have expected by chance (if the null were true) Question 13 2 pts Garret thinks his car battery is becoming weak. He doesn't want to be stranded on the highway, so he tests his battery and it tests fine. But when Garret begins his trip on the highway, the battery dies 20 miles down the road. The test results must have been wrong! What type of error is this? Sampling o Type II o Confidence o Type Question 14 2 pts Researchers conducted an independent samples t-test and then reported a Cohen's d value for the test of 1.5. What is true of the two sample means? o The two samples likely come from the same distribution. o The two samples means are significantly different. o The two sample means overlap 85%. o The two sample means are 1.5 standard deviations apart. Question 15 2 pts To find the slope of a regression equation, you should Standardize the prediction for Y when X = 0 o Add the predicted change when X = 0 to the predicted. o subtract the predistedehange when X = 1 minus the o Find the predicted z score when x = 0.

Seen 1 years ago Olivia Patricia 1 answers

a)Find the probability that of the next ten single births in a hospital in the district, eight or nine of them boys? b)Find the probabiliyt that the next 15 single birth in a hospital in that district, more than one newborn is a boy? c) Find the probability that of the next 20 single births in a hospital in the district, between 13 and 16 births are boys? d)Find the probabiltiy that of the next 8 single births in a hospital in that districts the number of the boys is within one standard deviation of its mean.

Seen 2 years ago Harvey obrien 1 answers

Test the claim about the mean of the differences for a population of dependent (paired) data at the level of significance α. Please remember to include all 5 parts of a hypothesis test mentioned in the module summary. Assume the samples are random and dependent, and the populations are normally distributed. Exercise 9. Fuel efficiency. A researcher claims that the fuel efficiency of automobiles can be improved by using a fuel additive. A random sample of ten automobiles was selected. The fuel efficiency was measured before and after using the fuel additive. At a = 0.01 can you support the researcher's claim? Automobile Before (mpg) After (mpg) 25 27 1 28 2 33 3 26 27 25 30 4 30 27 5 28 29 7 25 34 29 26 31 26 31 10 26

Seen 1 years ago Olivia Samantha 1 answers

please explain this soultion clearly as i am confused
Problem 7 (10 marks) Researchers studying the effects of a new diet found that the weight loss over a one- month period by those on the diet was normally distributed with a mean of 12 pounds and a standard deviation of 5 pounds. a) What proportion of the dieters lost more than 10 pounds? (3 marks) b) What proportion of the dieters gained weight? (4 marks) c) What is the cut-off for the top 1% weight loss? (3 marks)

Seen 2 years ago Rodriguez 1 answers

Suppose the moment generating function of X is M(t) = z 1 2-et Find E[X2]

Seen 1 years ago Ava Linda 1 answers

For the statement below, write the claim as a mathematical statement. State the null and alternative hypotheses and identify which represents the claim. According to a recent survey, 27% of college students used their own income or savings to pay for college Write the claim as a mathematical statement. O A. p0.27 O E. P50.27 OC. P20.27 ON p=0.27 Choose the correct null and alternative hypotheses below. O A. Ho: P = 0.27 Ha: P+0.27 OD. Ho P+0.27 Ha: p = 0.27 O B. Ho:p>0.27 Ha: p50.27 O E. Ho p0.27 Identify which is the claim. 0 O The alternative hypothesis He: p=0.27 is the claim. The null hypothesis Ho: P = 0.27 is the claim. The null hypothesis Hops 0.27 is the claim The null hypothesis Ho: P 20.27 is the claim. The alternative hypothesis Ha p > 0.27 is the claim The alternative hypothesis Ha p

Seen 1 years ago Olivia Samantha 1 answers

Question 20 1 pts The drug Lipitor is mean to reduce cholesterol and LDL cholesterol. In clinical trials 19 out of 863 patients taking 10 mg of Lipitor daily complained of flulike symptoms. Suppose that it is known that 1.9% of patients taking competing drugs complain of flulike symptoms. Is there evidence to conclude that more than 1.9% of Liptor users experience flulike-smptoms as a side effect at a = 0.05, level of significance ? Which of the following is true In the hypothesis testing of the above problem? The conclusion is do not reject The p-value

Seen 1 years ago Harry Callum 1 answers

It was reported that 31.62% of high school students in a metropolitan area regularly smoke marijuana. If school administrators would like to estimate the proportion of students at their school who regularly smoke marijuana, how large a sample should be selected so that the margin of error is + 4% with a level of confidence of 98%? n=

Seen 2 years ago George Reece 1 answers

Let X be a continuous random variable with the following density function. Find E(X) and var(X). 6e -7x for x>0 f(x) = { for xso 6 E(X) = 49 var(X) =

Seen 1 years ago Jack Connor 1 answers

We have a dataset with n = 10 pairs of observations (xi; yi), and Xn i=1 xi = 683; Xn i=1 yi = 813; Xn i=1 x2i = 47; 405; Xn i=1 xiyi = 56; 089; Xn i=1 y2 i = 66; 731: What is the coefficient of correlation for this data? We have a dataset with n= 10 pairs of observations (li, yi), and n n Σ ti = 683, Σ9: = 813, i=1 η α? = 47, 405, Iiyi - 56, 089, Συ? = 66, 731. Σ - 1=1 What is the coefficient of correlation for this data?

Seen 2 years ago Amelia Margaret 1 answers

and the standard deviation, s, of sample data summarized in the frequency distribution table given below by using the formula below, where represents the class midpoint, frepresents the class frequency, and n represents the total number of sample values. Also, compare the omputed standard deviation to the standard deviation obtained from the original list of data values, 9.0. [(1•x?)] - [>«*-x)] n(n-1) Interval 30-36 37-43 44-50 51-57 58-64 65-71 Frequency 5 19 45 25 5 Sa 1 tandard deviation = 6.8 (Round to one decimal place as needed.) consider a difference of 20% between two values of a standard deviation to be significant. How does this computed value compare with the ven standard deviation, 9.0? A. The computed value is not significantly different from the given value. B. The computed value is significantly greater than the given value. C. The computed value is significantly less than the given value. Ick to select your answer(s).

Seen 2 years ago Lee White 1 answers

Unlike most packaged food products, alcohol beverage container labels are not required to show calorie or nutrient content. An article reported on a pilot study in which each of 58 individuals in a sample was asked to estimate the calorie content of a 12 oz can of beer known to contain 153 calories. The resulting sample mean estimated calorie level was 191 and the sample standard deviation was 87. Does this data suggest that the true average estimated calorie content in the population sampled exceeds the actual content? Test the appropriate hypotheses at significance level 0.001. State the appropriate null and alternative hypotheses. Ο Η. Holl = 153 Ha: L # 153 O Ho: u = 153 Ha: [ > 153 O Ho: 4 = 153 Ha: s 153 O Ho: 4 = 153 Ha: 4 < 153 Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.) z = P-value = State the conclusion in the problem context. O Do not reject the null hypothesis. There is not sufficient evidence that the true average estimated calorie content of this beer exceeds the actual content. O Reject the null hypothesis. There is not sufficient evidence that the true average estimated calorie content of this beer exceeds the actual content. O Do not reject the null hypothesis. There is sufficient evidence that the true average estimated calorie content of this beer exceeds the actual content. O Reject the null hypothesis. There is sufficient evidence that the true average estimated calorie content of this beer exceeds the actual content. You may need to use the annronriate table in the Annendiy of Tables to answer this question

Seen 1 years ago Lee White 1 answers

An engineer measures the weights (in kilograms) of steel pieces. They would like to
test H0 : = 5 against H1 : > 5. The weight of a steel piece is normally distributed.
They select a random sample size of n = 25 steel pieces, and compute x = 6:7 and
s = 2:37. We cannot conclude that the mean weight is larger than 5 kg at a level of
significance of 1%.
True False An engineer measures the weights (in kilograms) of steel pieces. They would like to test H. := 5 against H1 :pl > 5. The weight of a steel piece is normally distributed. They select a random sample size of n = 25 steel pieces, and compute T = 6.7 and 2.37. We cannot conclude that the mean weight is larger than 5 kg at a level of significance of 1%. S = True False

Seen 2 years ago Olivia Patricia 1 answers

30% of a bakery's pastries contain blueberries and 70% of their pastries contain chocolate. If the use of blueberries and chocolate are considered independent variables, what percent of their pastries contains at least one out of these two ingredients?

Seen 2 years ago Gelbero Wilson 1 answers

The time needed to complete a final examination in a particular college course is normally distributed with a mean of 77 minutes and a standard deviation of 12 minutes. Answer the following questions. a. What is the probability of completing the exam in one hour or less (to 4 decimals)? .0228 b. What is the probability that a student will complete the exam in more than 60 minutes but less than 75 minutes (to 4 decimals)? .2857 C. Assume that the class has 60 students and that the examination period is 90 minutes in length. How many students do you expect will be unable to complete the exam in the allotted time (to nearest whole number)? 10

Seen 2 years ago Sophia Jennifer 1 answers

lim is a 60 year old Anglo male in reasonably good health. He wants to take out a $50,000 term that is, straight death benefit) life insurance policy until he is 65. The policy will expire on his oth birthday. The probability of death in a given year is provided by the Vital Statistics Section of the Statistical Abstract of the United States (116th Edition) 60 death at this age 2012 Jim is applying to Big Rock Insurance Company for his term wrance policy. (a) What is the probability that im will die in his oth year? (Enter your answer to five decimal places) Using this probability and the $50,000 death benefit, what is the expected cost to Big Rock Insurance? (Round your answer to two decimal places) $ (b) Repeat part (a) for years 61, 62, 63, and 66. (Round your answers to two decimal places) Year Expected Cost $ $ $ 64 5 What would be the total expected cost to Big Rock Insurance over the years 60 through 647 (Round your answer to two decimal places.) $ (c) of Big Rock Insurance wants to make a profit of $700 above the expected total cost paid out for Jim's death, how much should charge for the policy? (Round your answer to two decimal places. $ (0) 1 Big Rock Insurance Company charges $5000 for the policy, how much profit does the company expect to make? (Round your answer to two decimal places) $

Seen 1 years ago Thomas Joe 1 answers

Listed below are the lead concentrations in ug/g measured in different traditional medicines. Use a 0.05 significance level to test the claim that the mean lead concentration for all such medicines is less than 16 ug/g. Assume that the sample is a simple random sample. 22 12.5 6 8.5 12 3 14.5 22 10 4 D Assuming all conditions for conducting a hypothesis test are met, what are the null and alternative hypotheses? O A. Ho: u = 16 ug/g Hy: p > 16 ug/g B. Ho: u = 16 ug/g He: u 16 ug/g C. Ho: u = 16 ug/g Hy: < 16 ug/g D. Ho: u> 16 ug/g H1: u < 16 ug/g Determine the test statistic. (Round to two decimal places as needed.) Determine the P-value. (Round to three decimal places as needed.) State the final conclusion that addresses the original claim. Ho. There is evidence to conclude that the mean lead concentration for all such medicines is 16 ug/g.

Seen 2 years ago Thomas Joe 1 answers

Suppose X is a random variable with probability mass function Find k.
A. 9/80 B. 11/20 C. 9/20 D. 18/50 E. none of the preceding f(x) = k if x = 0 3k if x = 1 11/20 if x = 3

Seen 1 years ago George Reece 1 answers

Suppose we wish to conduct a survey to find p, the proportion of 1st year undergraduate students who hope to attend graduate school. We'd like to be able to create a 94% confidence interval that it has a length of 0.1 (i.e. L=0.1). How many students do we need to sample if a pilot study shows that the sample proportion is 0.2? Select one: O a. 237 O b. 254 | 0 227 o ooo d. 244 e. 254 f. 354 g. 277 O

Seen 2 years ago Jones O'Kelly 1 answers

A rainstorm in Portland, Oregon, wiped out the electricity in 10% of the households in the city. Suppose that a random sample of 80 Portland households is taken after the rainstorm. a. Estimate the number of households in the sample that lost electricity by giving the mean of the relevant distribution (that is, the expectation of the relevant random variable). Do not round your response. b. Quantity the uncertainty of your estimate by giving the standard deviation of the distribution. Round your response to at least three decimal places. (If necessary, consult a list of formulas.) a D b. ?

Seen 1 years ago Wilson Anderson 1 answers

When considerable violations of parametric assumptions occurs, we should not use nonparametric tests [Choose the ONE best answer): A. True B. False C. Undefined D. Can't tell need more information

Seen 2 years ago Wilson Anderson 1 answers

A company’s old antacid formula provided relief for 75% of the people who used it. The company tests a new formula to see if it is better. Out of a random sample of 150 people tested with the new formula, 117 get relief. a. Write the appropriate hypotheses in symbols. b. What proportion of the people in the study got relief? c. Compute the test statistic (i.e., the standardized score), along with its appropriate symbol. Show your calculations. d. Report the p-value. e. Make a formal conclusion at the 5% significance level (state your conclusion formally in terms of whether you reject the null hypothesis or not and how you are deciding), and then also say what your conclusion means (in terms of whether the study gave sufficient evidence that the new formula is better).

Seen 1 years ago Ava Linda 1 answers

The following table gives the joint probability distribution for the numbers of washers (X) and dryers (Y) sold by a salesperson in an appliance store in a day. X∣Y01200.060.010.0710.010.160.1320.030.010.52
Find E(X) _______
Find E(Y) _______ If the salesperson makes a commission of $80 per washer and $ 70 per dryer, find the average daily commission, average daily commission = $_______

Seen 2 years ago Ava Linda 1 answers

Fill in the P(X = x) values to give a legitimate probability distribution for the discrete random variable X, whose possible values are 2, 3, 4, 5, and 6. Value I of x P(x = x) 2 0.16 3 4 0.17 0.29 6 0 X 6 For Subm Let X be a random variable with the following probability distribution: 1 Value x of X P(X=x) 0.25 2 0.05 3 0.15 4 0.15 5 0.10 6 0.30 Find the expectation E (x) and variance Var(x) of X. (If necessary, consult a list of formulas.) X 5 ? var(x) = 0 A rainstorm in Portland, Oregon, wiped out the electricity in 10% of the households in the aty. Suppose that a random sample of 80 Portland households is taken after the rainstorm. a. Estimate the number of households in the sample that lost electricity by giving the mean of the relevant distribution (that is, the expectation of the relevant random variable). Do not round your response. b. Quantify the uncertainty of your estimate by giving the standard deviation of the distribution, Round your response to at least three decimal places (If necessary, consult a list of formulas.) X ?

Seen 1 years ago Gelbero Wilson 1 answers

In Exercises 29–32, find the mean of the data summarized in the frequency distribution. Also, compare the computed means to the actual means obtained by using the original list of data values, which are as follows: (Exercise 29) 36.2 years; (Exercise 30) 44.1 years; (Exercise 31) 224.3: (Exercise 32) 255.1. 30. 29. Frequency Age (yr) of Best Actress When Oscar Was Won 20-29 28 30-39 Frequency 29 34 14 3 5 Age (yr) of Best Actor When Oscar Was Won 20-29 30-39 40-49 50-59 60 69 70-79 36 15 6 40 49 50-59 60-69 70-79 80-89 1 1 1 mid Dlatelet

Seen 2 years ago Jones O'Kelly 1 answers

1. (10pt) The Transportation Safety Administration (TSA) is designing a new met detecting weapons on passengers at airports as they pass through the security checkpoint. Presume that Ho : The passenger does not have weapons. a. Fill out the contingency table below for the TSA test results, giving context. Label the errors as either false positive or false negative, and state their Type (I or II). REALITY Ho is true means... Ho is false means... Do not Reject Ho means... DECISION Reject Ho means... or Type II Error b. Which is worse in this case? (Circle the best choice.) Type 1 Error Explain

Seen 2 years ago Jack Connor 1 answers

# 40 please Question 39 Provide an appropriate response. Data sets A and B are dependent. Find the test statistic. А 6.1 7.1 9.0 6.0 6.1 8.5 7.4 7.3 7.2 8.6 Assume that the paired data came from a population that is normally distributed. B O 1.112 O 1.212 1.321 O - 1.321 Question 40 Provide an appropriate response. Data sets A and B are dependent. Find the test statistic. A 13 11 30 26 14 B 11 7 8 18 5 Assume that the paired data came from a population that is normally distributed. -2.28 O -1.85 2.58 -2.85

Seen 2 years ago Sophia Jennifer 1 answers

Short Answer Question We have a dataset with n = 10 pairs of observations (), and 683 813 -47,405, 56,089, į v2 = 66,731 What is an approximate 95% confidence interval for the intercept of the line of best fit?

Seen 1 years ago Li Smith 1 answers

r serving given below. Complete parts a through c below 134 169 141 121 111 110 170 154 119 138 34 act histogram below Q o requency Frequency Frequency 우주 도수 o os equency 2 35 120 160 OD Calories per Serving 888883 Calones por Serving 88888888 Calories per serving 2018 Culories per serving 888888 Hammerce 0 Arc the assumptions and conditions for inference satisfiod? Are the assumptions and conditions for inference satisfied? A. The Randomization Condition is met. The Normal probability plot is not roughly straight and has an outlier, and the histogram is skewed right, so the Nearly Normal Condition is not met. B. The Randomization Condition is met. The Normal probability plot is relatively straight and the histogram is roughly unimodal and symmetric, so the Nearly Normal Condition is met. C. The Randomization Condition is not met. The Normal probability plot is relatively straight and the histogram is roughly unimodal and symmetric, so the Nearly Normal Condition is met. D. The Randomization Condition is met. The Normal probability plot is relatively straight, but the histogram is bimodal and asymmetric, so the Nearly Normal Condition is not met. b) Find a 95% confidence interval for the true mean number of calories per serving.

Seen 1 years ago Brown Walsh 1 answers

In the journal Hypertension of the American Heart Association, researchers report that individuals who practice Transcendental Meditation (MT) lower their blood pressure significantly. If a random sample of 225 men who practice TM meditate 8.5 hours a week. The population standard deviation is known to be 2.25 hours, does this suggest that, on average, men who use TM meditate more than 8 hours per week? Use a significance level of 0.02. Choose which pair of hypotheses would be: a) Ho: µ = 8 hrs Ha: µ ≠ 8 hrs b) Ho: µ ≠ 8 hrs Ha: µ = 8 hrs c) Ho: µ ≤ 8 hrs Ha: µ > 8 hrs d) Ho: µ ≥ 8 hrs Ha: µ < 8 hrs

Seen 2 years ago James Charlie 1 answers

Rhesus factor, is a type of protein found on the outside of red blood cells. The protein is genetically inherited. A donor is said to have Rh+ blood if the Rhesus factor is present in their blood. Suppose that a blood donation campaign is launched by the University of Ottawa walk-in clinic. Among undergraduate students donating blood to walk-in clinic, 30% have Rh+. a) If seven undergraduate students donate blood at this clinic on a particular day, what is the probability that at least three of them do not have the Rh factor? What is the probability that the number of students with Rh+ blood will be within 0.1 of the true population mean? b) How many undergraduate students must donate blood to have the probability of at least one Rh+ donor over 0.90?

Seen 2 years ago George Reece 1 answers

o Suppose the data below represent in thousands the type of health insurance coverage of people by age Dalentine Pf

Seen 1 years ago Thomas Joe 1 answers

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