ACTIVITY 2. Guess My Type!Directions: Provide an explanation for the situations below.1. The researcher failed to reject the null hypothesis, and it was foundout later that there was not enough evidence to support thealternative hypothesis. Was this a correct decision?FAILED TOREJECT2. It was concluded that the social networking siteFacegram is better than Instabook when in fact, it is nobetter. What Type of error was committed?Atabookfacegram

HERE USE basic of hypothesis test

Answered: 1. The researcher failed to reject 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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If a null hypothesis is rejected at the 0.05 level of significance, it must be rejected at the 0.01 level. True or False?
1.
Interpret, in words, what it means for a research question that a null hypothesis was accepted.
A researcher studies the effect of cognitive psychotherapy on positive self-regard. The number of positive statements made about oneself is recorded for each participant during the first meeting. After 8 weekly therapy sessions, the measures are repeated for each person. The therapist predicts that cognitive psychotherapy will increase the number of positive statements. For the following data: Before Treatment: 7, 6, 9, 5 After Treatment: 10,12,7,17 What is the null hypothesis for the study?
9.2 Discuss in your own words the errors that can be made in hypothesis testing. What is a type I error? Why might it occur? a. b. What is a type Il error? How does it happen?
Christine, a researcher in psychology and biobehavioral health, believes that city residents and residents of rural areas differ in how appealing they find owning a cat. A random sample of 109 people who live in San Antonio were surveyed and 59 identified themselves as a "cat person." A random sample of 108 people who live in the surrounding rural area were selected and 72 identified themselves as a "cat person." Conduct an appropriate hypothesis test at the a = 0.1 significance level to test Christine's claim. Round answers to 4 decimal places where appropriate. a. State the null and alternative hypotheses. Ho: p. =V c. Find the test statistic. H₁: p. b. What is the appropriate distribution to use for the hypothesis test? Z (Normal) 00 Test Statistic: -1.9593 X d. Determine the P-value: P-value: 0.0501 X p. V 0° P. V 08
The term error is used in two different ways in hypothesis testing: a Type I error (or Type II) and the standard error. a. What can a researcher do to influence the size of the standard error? Does this action have any effect on the probability of a Type I error? b. What can a researcher do to influence the probability of a Type I error? Does this action have any effect on the size of the standard error
Are freshmen psychology majors less likely to change their major before they graduate compared to freshmen business majors? 379 of the 673 freshmen psychology majors from a recent study changed their major before they graduated and 458 of the 725 freshmen business majors changed their major before they graduated. What can be concluded at the = 0.05 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Ho: Select an answer H₁: Select an answer Select an answer Select an answer b. The test statistic ? C = Select an answer (please enter a decimal) Select an answer (Please enter a decimal) (please show your answer to 3 decimal places.) c. The p-value = d. The p-value is ? Q e. Based on this, we should Select an answer the null hypothesis. f. Thus, the final conclusion is that ... (Please show your answer to 4 decimal places.) O The results are statistically insignificant at a = 0.05, so there is insufficient evidence to…
2. a) What is type I and Type Il Error in terms of the null hypothesis? b) Give an example of type I and Type II Error
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 80 such people. He then filled 80 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. 53 participants correctly identified the soda. (a) Do these data provide strong evidence that these people are any better or worse than random guessing at telling the difference between diet and regular soda? (b) Interpret the p-value in this context.
Suppose your marketing department feels like 36% of customers prefer a certain feature for a product.But you suspect that it is much less than this.To test your hypothesis you send surveys to a group of customers. You get 360 responses and of those only 30% say they prefer the feature.Suppose you want to test your hypothesis with a level of significance of .01 (1%). What is your conclusion? a) What is the null hypothesis? b) What is the alternative hypothesis? c) What is the claimed population proportion? d) What is the sample proportion (called the test statistic) e) What is the std deviation f) What is the z-value of the test statistic? g) What is the p-value h) compare your p-value to the level of significance i) What is the conclusion in words
Results from a civil servant exam are shown in the table to the right. Is there sufficient evidence to support the claim that the results from the test are discriminatory? Use a 0.05 significance level. Passed Failed White candidates 20 15 Minority candidates 7 21 Determine the null and alternative hypotheses. A. H0: White and minority candidates have the same chance of passing the test. H1: White and minority candidates do not have the same chance of passing the test. B. H0: A white candidate is not more likely to pass the test than a minority candidate. H1: A white candidate is more likely to pass the test than a minority candidate. C. H0: A white candidate is more likely to pass the test than a minority candidate. H1: A white candidate is not more likely to pass the test than a minority candidate. D. H0: White and minority candidates do not have the same chance of passing the test. H1: White and…

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