10.In a study we reject Ho Which of the followingstatements are incorrect and why? (a) "Now weknow that H, is false." (b) "We have proof that oursample mean represents a particular p." (c) "Wehave proof that the independent variable causesscores to change as predicted." (d) "It is not pos-sible that the difference between X and u is dueto sampling error." (e) "We have evidence that thepredicted relationship does Some of the ch ildren givena new flu vaccine laterdevelop a neurological disease. Parents claim thevaccine caused the disease. What are the twopossible statistical explanations for this result?

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Answered: 10.In a study we reject Ho Which of the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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An advertising executive wants to determine if a new billboard placed in a city caused sales of their product to increase. To do this, he selects ten random stores that sell the product on the billboard and compares the amount sold in one business cycle before the billboard was placed to the sales of one business cycle after. If we let d=sales after−sales before, what are the null and hypotheses for a hypothesis test on the mean of the differences for the paired data in the population? Select the correct answer below: A) H0:μd=0 Ha:μd>0 B) H0:μd=0 Ha:μd<0 C) H0:μd<0 Ha:μd=0 D) H0:μd=0 Ha:μd≠0
The appropriate null hypothesis for a two-tailed, independent samples t-test is ____________.
2.) The table shows the distribution of a random sample of fatal motor vehicle collisions by time of day and gender in a recent year. Use a = 0.10 significance to perform a Chi-Square hypothesis test. O: E: C: O: E: C: totals: 12:00-5:59 6:00-11:59 654 308 490 231 12:00-5:59 pm 654 308 6:00-11:59 pm 1471 692 totals
6. A simple random sample of 1,000 United States adults was collected to investigate whether gender and being a coffee drinker are independent. The results are summarized in the table with the expected counts shown in parentheses. Coffee Drinker? Yes No Total Male 191 (148.5) 299 (341.5) 490 Gender Female 112 (154.5) 398 (355.5) 510 Total 303 697 1,000 Which statement is true about whether the conditions for the chi-square test for independence have been met? All necessary conditions are satisfied to apply a chi-square test for independence between gender and being a coffee drinker. The data is not the result of two independent random samples; therefore, the conditions for applying the chi- square test for independence between gender and being a coffee drinker are not met. Not all of the expected cell counts are large enough to satisfy the conditions for applying the chi-square test (c) for independence between gender and being a coffee drinker. Not all of the observed cell counts are…
You are given the following information obtained from a random sample of 4 observations. 24 48 31 57 You want to determine whether or not the mean of the population from which this sample was taken is significantly different from 49. (Assume the population is normally distributed.) (a) State the null and the alternative hypotheses. (Enter != for # as needed.) Ho: H₂: (b) Determine the test statistic. (Round your answer to three decimal places.) (c) Determine the p-value, and at the 5% level of significance, test to determine whether or not the mean of the population is significantly different from 49. Find the p-value. (Round your answer to four decimal places.) p-value = State your conclusion. O Reject Ho. There is sufficient evidence to conclude that the mean of the population is different from 49. O Reject Ho. There is insufficient evidence to conclude that the mean of the population is different from 49. O Do not reject Ho. There is insufficient evidence to conclude that the mean…
4.2.16 What is the difference between random sampling and random assignment and what types of conclusions can be drawn from each?
A researcher studying public opinion of proposed Social Security changes obtains a simple random sample of 25 adult Americans and asks them whether or not they support the proposed changes. To say that the distribution of the sample proportion of adults who respond yes, is approximately normal, how many more adult Americans does the researcher need to sample in the following cases? (a) 20% of all adult Americans support the changes(b) 25% of all adult Americans support the changes(a) The researcher must ask _____more American adults. (Round up to the nearest integer.)
6. iThe average and SD of a sample of size 150 are 15 and 2, respectively. (a) At least what percentage of sample values lies between 9 and 21 ? (b) How many sample values lie between 10 and 20 ?
The College Board provided comparisons of Scholastic Aptitude Test (SAT) scores based on the highest level of education attained by the test taker's parents. A research hypothesis was that students whose parents had attained a higher level of education would on average score higher on the SAT. The overall mean SAT math score was 514.1 SAT math scores for independent samples of students follow. The first sample shows the SAT math test scores for students whose parents are college graduates with a bachelor's degree. The second sample shows the SAT math test scores for students whose parents are high school graduates but do not have a college degree. College Grads High School Grads 501 471 442 492 534 533 580 478 634 526 479 425 554 426 486 485 534 515 528 390 556 594 524 535 481 464 592 453 (a) Formulate the hypotheses that can be used to determine whether the sample data support the hypothesis that students show a higher population mean math score on the SAT if their parents attained a…
1 of 3 Unit 6 - Inference for Categorical Data: Proportions M&M Activity Name: Have you ever opened a bag of M&Ms and been surprised at the distribution of colors? We are going to investigate the different colors of M&Ms in a bag! Now, since I am not made of money, I can only afford for us to do a test based off of a fun-size pack. Now, you cannot EAT your candy!!! (right now...) Count the number of candies in your bag: _102 Fill in the chart with your information: Color Brown Red Yellow Orange Green Blue Count 14 11 10 37 11 19 Proportion 0.14 0.11 0.10 0.36 0.11 0.19 Looking at your data, you are going to test each claimed color given below. (Don't worry, we are not breaking rules – we will use the class data in a moment to actually conduct the test 0) Fill in the blank with , or * based on what you found in your bag. Brown: H.: p = 0.13 vs H,: p> 0.13 Red: H p-0.13 vs H.: p 0.15 Green: H p = 0.15 vs H,: p 0.13 H p- 0.20 vs H.: p< 0.20 St a p= 0.12 p=0.15 p=0.14 e Random - Random –…
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