### Church Attendance and Age Relationship AnalysisA research group conducted a survey about church attendance. The survey respondents were asked about their church attendance and their age. The data collected is summarized in the table below:| Church Attendance | Age | 20 to 29 | 30 to 39 | 40 to 49 | 50 to 59 ||-------------------|-----------|----------|----------|----------|----------|| Yes | | 26 | 58 | 89 | 67 || No | | 74 | 92 | 111 | 83 |Use the sample data to determine whether church attendance is independent of age, using a 0.05 level of significance.### HypothesesState the null and alternative hypotheses:1. \( H_0 \): Church attendance is not mutually exclusive from age. \( H_a \): Church attendance is mutually exclusive from age.2. \( H_0 \): Church attendance is not independent of age. \( H_a \): Church attendance is independent of age.3. \( H_0 \): Church attendance is mutually exclusive from age. \( H_a \): Church attendance is not mutually exclusive from age.4. \( H_0 \): Church attendance is independent of age. \( H_a \): Church attendance is not independent of age.### Statistical TestFind the value of the test statistic. (Round your answer to three decimal places.)### p-ValueFind the p-value. (Round your answer to four decimal places.)\[ \text{p-value} = \]### ConclusionState your conclusion based on the p-value:- \( \bigcirc \) Reject \( H_0 \): We cannot conclude that church attendance is not independent of age.- \( \bigcirc \) Do not reject \( H_0 \): We cannot conclude that church attendance is not independent of age.- \( \bigcirc \) Do not reject \( H_0 \): We conclude that church attendance is not independent of age.- \( \bigcirc \) Reject \( H_0 \): We conclude that church attendance is not independent of age.### ImplicationsWhat conclusion can you draw about church attendance as individuals grow older?- \( \bigcirc \) Church attendance decreases as individuals grow older.- \( \bigcirc \) Church attendance does

By applying the chi-square of independence,Observed Frequency (O) Table : Grand total = 600a)The…

Answered: oup conducted a survey about church…

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 news article that you read stated that 51% of voters prefer the Democratic candidate. You think that the actual percent is smaller. 122 of the 248 voters that you surveyed said that they prefer the Democratic candidate. What can be concluded at the 0.01 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: ? ✓ Select an answer H₁: ? Select an answer (please enter a decimal) (Please enter a decimal) c. The test statistic ? d. The p-value = e. The p-value is ? ✓ a f. Based on this, we should Select an answer the null hypothesis. (please show your answer to 3 decimal places.) (Please show your answer to 4 decimal places.)
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Forbes reports that women in general trust recommendations from Pinterest more than recommendations from any other social network platform. But does trust in Pinterest differ by gender? The following sample data show the number of women and men who state in a recent survey that they trust recommendations made on Pinterest. Sample Trust recommendations made on Pinterest Women 150 117 Men 170 102 We want to determine whether trust in Pinterest differ by gender. Formulate the null and the alternative hypotheses. Use 1 to represent women and 2 to represent men. H0: Ha: Null: p1 – p2 ≥ 0; Alternative: p1 – p2 < 0 Null: p1 – p2 = 0 ; Alternative: p1 – p2 ≠ 0 Null: p1 – p2 ≤ 0; Alternative: p1 – p2 > 0 B. What the test statistics? You probably need to find the pooled proportion first. Pooled proportion is ___________. 0.6 0.78 0.6844 C. Test statistic is ________. 3.46 1.28 66.41 4.36
A beer store wanted to test the difference on drinking habits if a younger group of 21-30 years old (n=8) to an older group of 50 to 60 years old (n=10). The store took a survey of beers per year each person had in both groups and found the following data: 21-30 group 50-60 group 50 35 17 64 25 39 88 75 53 61 62 89 36 45 29 35 29 78 State the hypotheses of the study.b. Find the critical t value for this study at an alpha level at α=.05.c. Compute the independent t testd. If significant, perform a percentage of variance test.e. State the results in APA format (numbers and words) and don’t forget to include all parts in the sentence and the direction of the results.
An online book store wants to determine if there is an association between coupon redemption and gender. After a special coupon broadcast to its reward members, the following data on coupon redemption at checkout were collected. Yes No Total Male 66(76.17) 66(55.83) 132 Female 125(114.83) 74(84.17) 199 Total 191 140 331 What Chi-Square test is appropriate in this situation? Goodness-of-fit Homogeneity Independence Normal distribution
Which of the following most accurately describes a statistical hypothesis test? a technique that uses population data to make inferences about an unknown sample statistic a technique that allows researchers to describe a known sample O a technique that allows researchers to describe a known population O O O O a technique that uses sample data to draw inferences about an unknown population parameter
To determine if there is an association between gender and reading habits, 270 adults are randomly sampled from across the United States and asked the following question: “How often do you read a book outside of work or school: regularly, sometimes, or never?” The results are summarized in the following table: OBSERVED READING HABITS Regularly Sometimes Never Total Male 42 72 10 124 Female 72 74 7 146 Total 107 146 17 270 a)What are the appropriate hypotheses for this chi-square test? b)What are the appropriate degrees of freedom for this test?
In 2011, a U.S. Census report determined that 71% of college students work. A researcher thinks this percentage has changed since then. A survey of 110 college students reported that 91 of them work. Is there evidence to support the reasearcher's claim at the 1% significance level? a) Determine the null and alternative hypotheses. Ho: P = Ha:p Select an answer 2 = b) Determine the test statistic. Round to two decimals. c) Find the p-value. Round to 4 decimals. P-value = d) Make a decision. (Put in the correct symbol and value) O Fail to reject the null hypothesis Reject the null hypothesis e) Write the conclusion. O There is sufficient evidence to support the claim that the percentage of college students who work is different than 71%.
The table below includes results from polygraph (lie detector) experiments conducted by researchers. In each case, it was known if the subjected lied or did not lie, so the table indicates when the polygraph test was correct. Use a 0.05 significance level to test the claim that whether a subject lies is independent of the polygraph test indication. Do the results suggest that polygraphs are effective in distinguishing between truth and lies? LOADING... Click the icon to view the table. Determine the null and alternative hypotheses. A. H0: Polygraph testing is accurate. H1: Polygraph testing is not accurate. B. H0: Polygraph testing is not accurate. H1: Polygraph testing is accurate. C. H0: Whether a subject lies is independent of the polygraph test indication. H1: Whether a subject lies is not independent of the polygraph test indication. Your answer is correct. D. H0: Whether a subject lies is not independent of the polygraph…
Only about 19% of all people can wiggle their ears. Is this percent different for millionaires? Of the 389 millionaires surveyed, 89 could wiggle their ears. What can be concluded at the a = 0.01 level of significance? The null and alternative hypotheses would be: Ho: ? Select an answer (please enter a decimal) Ha: ? Select an answer V (Please enter a decimal)
The hypotheses, Null and Alternative, are basically statements about which of the following? * O both population and sample parameters sample statistics O population parameters O sample parameters

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