Using and Interpreting ConceptsPerforming a Chi-Square Goodness-of-Fit Test In Exercises 7-16,(a) identify the claim and state Ho and Ha, (b) find the critical value and identifythe rejection region, (c) find the chi-square test statistic, (d) decide whether to rejector fail to reject the null hypothesis, and (e) interpret the decision in the context ofthe original claim.7. Ages of Moviegoers A researcher claims that the ages of people who go tothe moviar nt lanet onda year ore distributed as shown infigure Vou 10. Ways to Pay A financial analyst claims that the distribution of people'spreferences on how to pay for goods is different from the distribution shownin the figure. You randomly select 600 people and record their preferenceson how to pay for goods. The table shows the results. At a = 0.01, test thefinancial analyst's claim. (Adapted from Travis Credit Union)Preferred Way to PayCashDebit or creditCheckDigital wallet/otherH29%59%5%7%Survey resultsResponseCashDebit or creditCheckDigital wallet/otherFrequency, f1943382147

Null hypothesis: The distribution of people's preferences on how to pay for goods is same as the…

Answered: Test In Exercises 7-16, Performing a…

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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A type of error that incorrectly rejects the null hypothesis a.Type 1 error b.Type Il error c.Probabilistic error d.Estimation error
What is the equation for computing the degrees of freedom (df) for a hypothesis test of independence of categorical data? O df = (number of rows + 1) (number of columns + 1) df = (number of rows) (number of columns) df = (number of rows - 1) (number of columns - 1) O df = n - 1
What is F test of the null hypothesis?
State the null and alternative hypotheses Calculate the expected results for the hypothesis test assuming the null hypothesis is true and determine the hypothesis test model , i.e., “cut-off” critical values etc. Formulate the decision rule, i.e., include “one-tail ”left, or “one-tail” right, or “two-tail” determination etc. Determine the experimental outcome. Determine the conclusion, and answer the question(s) posed in the problem, if any. The average IQ of a group of researchers is quoted to be 260. Thinking that this figure is too large, a consulting firm tested a random sample of 8 researchers and found that the average IQ was 250 with s=8. Test at a level of significance of 1%.
Which hypothesis test would be appropriate to determine whether the new variety of orange has a significantly higher content of vitamin C than the variety that is currently the top seller? Do NOT perform a hypothesis test – simply tell me which test should be used, why you chose this test, and give the formula for the test statistic.
(a) Write the claim mathematically and identify H0 and Ha. (b) Find the standardized test statistic z, and its corresponding area. (c) Find the P-value. (d) Decide whether to reject or fail to reject the null hypothesis. (e) Interpret your decision in the context of the original claim.
Apply table to question. Thanks!
Test the claim that the proportion of men who own cats is larger than 20% at the .05 significance level. The null and alternative hypothesis would be: 0.2 Но:р — 0.2 Но: и 0.2 Ho:H Ho:H H:р + 0.2 Н]:р 0.2 Hi:р > 0.2 Hi:р#0.2 0.2 Но:р || The test is: left-tailed two-tailed right-tailed Based on a sample of 25 people, 25% owned cats The test statistic is: (to 2 decimals) The critical value is: (to 2 decimals) Based on this we: O Fail to reject the null hypothesis O Reject the null hypothesis
H0: p1=p2 H1: p1<p2 1) Identify the test statistic. 2)Identify the P-value.
Fomulate a Two independent means test hypothesis question.
Identify the claim and state Ho and H Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed, and whether to use a z-test, a t-test, or a chi-square test. Explain your reasoning. Find the critical value(s), identify the rejection region(s), and find the appropriate standardized test statistic. Decide whether to reject or fail to reject the null hypothesis. Interpret the decision in the context of the original claim. A government agency reports that the mean amount of earnings for full-time workers ages 25 to 34 with a master’s degree is less than $70,000. In a random sample of 15 full-time workers ages 25 to 34 with a master’s degree, the mean amount of earnings is $66,231 and the standard deviation is $5945. At α = 0.05, is there enough evidence to support the agency’s claim? Assume the population is normally distributed.

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