Determine whether the claim stated below represents the null hypothesis or the alternative hypothesis. If a hypothesis test is performed, how should you interpret a decision that (a) rejects the null hypothesis or (b) fails to reject the nullhypothesis?A researcher claims that more than 89% of people had at least one health care visit in the past year.ODoes the claim represent the null hypothesis or the alternative hypothesis?Since the claim does not contain a statement of equality, it represents the alternative hypothesis.(a) How should you interpret a decision that rejects the null hypothesis?There is sufficient evidence to reject the claim that more than 89% of people had at least one health care visit in the past year.(b) How should you interpret a decision that fails to reject the null hypothesis?There is insufficient evidence to support the claim that more than 89% of people hadleast one health care visit in the past year.

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Answered: Determine whether the claim stated…

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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The data below show sport preference and age of participant from a random sample of members of a sports club. Is there evidence to suggest that they are related? Frequencies of Sport Preference and Age Tennis Swimming Basketball 18-25 97 86 72 26-30 91 78 54 31-40 68 72 50 Over 40 67 58 43 What can be concluded at the a = 0.10 significance level?
The P-value for a hypothesis test is shown. Use the P-value to decide whether to reject Ho when the level of significance is (a) a = 0.01, (b) a = 0.05, and (c) a = 0.10. P=0.1162 (a) Do you reject or fail to reject H, at the 0.01 level of significance? O A. Reject H, because the P-value, 0.1162, is greater than a = 0.01. O B. Reject H, because the P-value, 0.1162, is less than a= 0.01. O C. Fail to reject Ho because the P-value, 0.1162, is less than a= 0.01. O D. Fail to reject H, because the P-value, 0.1162, is greater than a = 0.01. (b) Do you reject or fail to reject H, at the 0.05 level of significance? O A. Fail to reject H, because the P-value, 0.1162, is less than a = 0.05. O B. Reject Họ because the P-value, 0.1162, is greater than a = 0.05. O C. Fail to reject Ho because the P-value, 0.1162, is greater than a = 0.05. O D. Reject H, because the P-value, 0.1162, is less than oa = 0.05. (c) Do you reject or fail to reject Ho at the 0.10 level of significance? O A. Reject H,…
Some people claim that they can tell the difference between a diet soda and a regular soda in the first sip. A researcher wanting to test this claim randomly sampled 84 such people. She filled 84 plain white cups with soda, half diet and half regular through random assignment, and asked each person to take one sip from their cup and identify the soda as diet or regular. 51 participants correctly identified the soda. Conduct and interpret a hypothesis test for the following question: are these people any better or worse at telling the difference between diet and regular soda than random guessing (correctly identify soda half of the time)? HINT: what is your hypothesized proportion if you want to test if these participants are right or not half of the time? Use a = .01 significance level. Solve Critical value:
Which of the following statements is correct? The p-value measures the probability of obtaining a test statistic as great as or greater than the value of the observed test statistic. The p-value measures the probability that the hypothesis is true. The p-value measures the probability of making a Type II error. The larger the p-value, the stronger the evidence against the null hypothesis A large p-value indicates that the data is consistent with the alternative hypothesis.
According to a recent study in New York, 15% of shoppers are unfairly being charged sales tax in non-taxable items. Mr. Hypothesis feels this proportion is too low. He tests his belief by conducting a survey of 200 random shoppers. Which of the following is the null hypothesis? a. The percent of shoppers unfairly being charged sales tax on non-taxable items < .15 b. The percent of shoppers unfairly being charged sales tax on non-taxable items > .15 c. The percent of shoppers unfairly being charged sales tax on non-taxable items = .15
Rejecting the null hypothesis when it is true is called a _____ error
Which set of numbers would correspond to a hypothesis test with the greatest power? Cohen's d = 0.6 & n = 500 O Cohen's d = 0.6 & n = 50 O Cohen's d = 0.5 & n = 50 O Cohen's d = 0.5 & n = 500
To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below. Student Exam Score Before the Course Exam Score After the Course 1 720 700 2 740 770 3 900 950 4 700 710 5 500 580 6 840 900 7 820 840 8 640 650 Use an appropriate hypothesis test, at 0.05 level of significance, to determine whether there is evidence of a difference between before and after scores of the students. What assumption is necessary to perform the hypothesis test in (a)? Construct a 95% confidence interval estimate of the mean difference in before and after scores. Interpret the interval. What is your decision based on this confidence interval estimate?
5. Conclusions True or false: In hypothesis testing, it is never valid to form a conclusion of supporting the null hypothesis.
Rejecting a false Null hypothesis is a. Type 1 error b. Type 2 error c. Alternate error d. Null error
Dating apps allow us to look a person's profile (or picture) and decide whether we'd like to date them (swipe right) or not (swipe left). Let us treat this like a hypothesis test, with the null hypothesis being that you don't want to date them. Then the swipe right decision is a positive result (rejecting the null) and the swipe left decision is a negative result (not rejecting the null). Suppose you think you're pretty good at deciding who you want to date, and you think that your sensitivity is 80% and your specificity is 66%. 4. If you go through the profiles of 200 people in a population where you expect 25% of the population to be dateable, how many times can you expect to swipe right? Hint: multiply the probability by the number of people to find out the expected number of swipes. 5. If instead the population had only 5% dateable individuals, how many times can you expect to swipe right? 6. Suppose you swipe right on a person from the 25% dateable population and go on a date.…
In hypothesis testing, if the test statistic falls in the critical region then we reject the null hypothesis. a. Trueb. False

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