How do I examine whether there is evidence that, in the population from which the respondents were selected, the average of one group is different from another?
Q: below miarzes data from a survey o sample of women. Osing 01 significance level, and assuming that…
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Q: The table below summarizes data from a survey of a sample of women. Using a 0.05 significance…
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Q: The table below summarizes data from a survey of a sample of women. Using a 0.05 significance level,…
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Q: The table below summarizes data from a survey of a sample of women. Using a 0.05 significance…
A: The given table is as follows:
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Q: The table below summarizes data from a survey of a sample of women. Using a 0.01 significance level,…
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Q: The table below summarizes data from a survey of a sample of women. Using a 0.05 significance…
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Q: An article about the California lottery gave the following information on the age distribution of…
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Q: The table below summarizes data from a survey of a sample of women. Using a 0.05 significance level,…
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Q: The table below summarizes data from a survey of a sample of women. Using a 0.01 significance…
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How do I examine whether there is evidence that, in the population from which the respondents were selected, the average of one group is different from another?
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- An article about the California lottery gave the following information on the age distribution of adults in California: 35% are between 18 and 34 years old, 51% are between 35 and 64 years old, and 14% are 65 years old or older. The article also gave information on the age distribution of those who purchase lottery tickets. The following table is consistent with the values given in the article. Suppose that the data resulted from a random sample of 200 lottery ticket purchasers. Based on these sample data, is it reasonable to conclude that one or more of these three age groups buys a disproportionate share of lottery tickets? Use a chi-square goodness-of-fit test with ? = 0.05. Age of Purchaser Frequency 18–34 36 35–64 130 65 and over 34 Calculate the test statistic. (Round your answer to two decimal places.) ?2 = Use technology to calculate the P-value. (Round your answer to four decimal places.) P-value = What can you conclude? The data strong evidence to conclude…A researcher is studying the effects of the college experience on attitudes, values, and behaviors and is comparing random samples of freshman and seniors at the same university. Is there a significant difference in political ideology? (On this scale, 10 means "very conservative" and 1 means "very liberal") FRESHMAN SENIORSmean=5.23 mean=5.12s=1.78 s=1.07N=145 N=105A mathematics placement test is given to all entering freshmen at a small college. A student who receives a grade below 35 is denied admission to the regular mathematics course and placed in a remedial class. A study about the correlation between the placement scores and the final course grade is being written and the placement test scores and final grades for a group of students who took the regular course were recorded as follows: Placement Course Test Grade 50 53 35 41 35 61 40 56 55 68 65 36 35 11 60 70 90 79 35 59 90 54 80 91 60 48 60 71 60 71 40 47 55 53 50 68 65 57 50 79 Is there a significant relationship between the score on the placement test and the course grade of the students? Use 5% level of significance. (Show complete proof/steps with conclusion in statement form)
- A sample of students from an introductory psychology class were polled regarding thenumber of hours they spent studying for the last exam. All students anonymously submitted thenumber of hours on a 3 by 5 card. There were 24 individuals in the one section of the course polled,and the data is as given below: 4.5, 22, 7, 14.5, 9, 9, 3.5, 8, 11, 7.5, 18, 20, 7.5, 9, 10.5, 15, 19, 2.5, 5, 9, 8.5, 14, 20, 8. Compute a 95 percent confidence interval.A study was conducted to determine the proportion of people who dream in black and white instead of color. Among 318 people over the age of 55, 77 dream in black and white, and among 298 people under the age of 25, 16 dream in black and white. Use a 0.05 significance level to test the claim that the proportion of people over 55 who dream in black and white is greater than the proportion for those under 25. Complete parts (a) through (c) below. H4: P1 P2 H: P1 #P2 O D. Ho: P1 SP2 H1: P1#P2 O E. Ho: P1 P2 H1: P1 = P2 O F. Ho: P1 =P2 H1: P1 #P2 Identify the test statistic. z= 6.52 (Round to two decimal places as needed.) Identify the P-value. P-value = 0.000 (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? The P-value is less than the significance level of a = 0.05, so reject the null hypothesis. There is sufficient evidence to support the claim that the proportion of people over 55 who dream in black and white is greater than the proportion…Is there a relationship between Facebook use and age among college students? The following two-way table displays data for the 219 students who responded to the Age Younger (18–22) Middle (23–27) Older (28 and up) Facebook user? Yes 78 49 21 No 4 21 46 What percent of the students who responded were Facebook users? What percent of the students in the sample were aged 28 or older? What percent of the students who responded were older Facebook users? What percent of the Facebook users in the sample were younger students? Find the distribution of Facebook use for each of the three age groups. Make a stacked bar graph to compare these Describe what the graph in part (e) reveals about the association between age and Facebook
- The table below summarizes data from a survey of a sample of women. Using a 0.05 significance level, and assuming that the sample sizes of 800 men and 400 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women? Gender of Interviewer Man Woman Women who agree 535 344 Women who disagree 265 56 Click here to view the chi-square distribution table. LOADING... Identify the null and alternative hypotheses. Choose the correct answer below. A. H0: The proportions of agree/disagree responses are different for the subjects interviewed by men and the subjects interviewed by women. H1: The proportions are the same. B. H0: The proportions of agree/disagree…A study was conducted to determine the proportion of people who dream in black and white instead of color. Among 295 people over the age of 55, 64 dream in black and white, and among 312 people under the age of 25, 13 dream in black and white. Use a 0.05 significance level to test the claim that the proportion of people over 55 who dream in black and white is greater than the proportion for those under 25. Complete parts (a) through (c) below. a. Test the claim using a hypothesis test. Consider the first sample to be the sample of people over the age of 55 and the second sample to be the sample of people under the age of 25. What are the null and alternative hypotheses for the hypothesis test? O A. Ho: P₁ = P₂ H₁: P₁ P2 O B. Ho: P₁ P₂ H₁: P₁ = P2 O E. Ho: P₁ SP₂ H₁: P₁ P2 OC. Ho: P₁ P2 H₁: P₁ P2 OF. Ho: P₁ H₁: P₁ P₂ P2The table below summarizes data from a survey of a sample of women. Using a 0.05 significance level, and assuming that the sample sizes of 900 men and 400 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women? Gender of Interviewer Man Woman Women who agree 532 349 Women who disagree 368 51 Identify the null and alternative hypotheses. Compute the test statistic. Find the critical value(s). What is the conclusion based on the hypothesis test? Reject or fail to reject? Is there sufficient evidence? Does it appear that the gender of the interviewer affected the responses of women?
- A study was conducted to determine the proportion of people who dream in black and white instead of color. Among 294 people over the age of 55, 63 dream in black and white, and among 300 people under the age of 25, 19 dream in black and white. Use a 0.05 significance level to test the claim that the proportion of people over 55 who dream in black and white is greater than the proportion for those under 25. Complete parts (a) through (c) below. a. Test the claim using a hypothesis test. Consider the first sample to be the sample of people over the age of 55 and the second sample to be the sample of people under the age of 25. What are the null and alternative hypotheses for the hypothesis test? A. Ho: P₁ = P2 H₁: P₁ P2 D. Ho: P₁ P2 H₁: P₁ P2 OB. Ho: P1 P2 H₁: P₁ P2 O E. Ho: P1 H₁: P₁ P2 P2 O C. Ho: P₁ P2 H₁: P₁ = P2 OF. Ho: P₁ P2 H₁: P₁ P2(ii) The lecturer wishes to compare the average scores for Business Statistics between the accounting students and the finance students. He records the marks of a group of 8 students from each course in the following table. Student Accounting course Finance course 78 54 56 95 3 67 68 4 49 71 88 82 76 7 8 62 74 86 85 57 Test at 5% level of significance whether the average score for Business Statistics is different between accounting students and finance students.For this example should a correlated or independent sample t test be used? Delayed posttest achievement scores were compared withimmediate posttest scores for all participants.