The athletic director at a large university compared the proportions of freshmen (1st year students) and seniors (4th year students) who exercise regularly. She analyzed the data and found the Z-statistic for the difference between the population proportions to be 2.43 with a P-value of 0.015. The level of significance was set at 0.05. State the conclusion she can draw about the difference between the two population proportions.

Q: For Bonferroni, how would you report your results? A Bonferroni post hoc test (p < .05) revealed…

A: It can be observed from Bonferroni outcome that the p-value for the difference between group-2 and 1…

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A:

Q: Over a 4-month period, among 30 people with bipolar disorder, patients who were given a high dose…

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Q: If the t-statistic for a variable is -1.74, is the variable statistically significant? No Yes

A: Given: Test statistic is -1.74

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A:

Q: Dr. Ortega took a wide sample of people and timed them running a mile. There is a lot of variability…

A: Given that effect size for physical fitness is 29%

Q: What is the difference in what a small P-value tells us compared to a high P-value?

A: P Value is a method to determine the significance of the result from a data. It basically tells you…

Q: For each scenario listed on the left, determine whether the scenario represents an Indepenent…

A: To find the scenario listed represents independent samples or matched pairs.

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A: Solution: From the given information, the researchers hypothesized that there would be a correlation…

Q: What is the formula for t RATIO FOR TWO POPULATION MEANS (TWO INDEPENDENT SAMPLES)?

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Q: The sample is actually 55.  what is the critical value?

A: It is given that the sample is 55 and there are three treatments.

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Q: It was founč that the correlation coefficient between two variables calculated from a sample of size…

A:

Q: 2. Use the first 30 data values in Table 1. Test, at the 5 percent level of significance, the…

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A: The answer is attached below,

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A: Given, n1 = 100, n2 = 100 p1 = 67 and p2 = 61

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A: Given that,

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A: The 95% confidence interval for p is (0.25, 0.32).

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A: From the given output, the R square value is 0.7105.

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A: Given information: A sample of people attending a professional football game averagesX¯=13.7 The…

Q: data has extreme scores, what is the best measure of average?

A: The mean is the average value of the data set. It is calculated by summing up all the observations…

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A: The R2 is known as the coefficient of determination, The R2 measures how much variation in the…

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Q: It has been claimed that over 30 percent of entering college students have blood cholesterol levels…

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A:

Q: At the 0.05 level of significance, does the data provide evidence to suggest that consumers in the…

A: Given,sample size (n)=25sample mean(x)=1922.76standard deviation(s)=350.8991α=0.05

Q: What is the value of the correlation coefficient r across the entire data set (all 10 students)?

A: INTRODUCTION :   CORRELATION:  In a bivariate distribution, we may be interested to find out if…

Q: The test scores for a class of 203 students are computed. What is the location of the test score…

A: Third quartile is above 75% of the observations.

Q: 7. Shows how close the point estimator to the value of the parameter as the sample size increases.

A: Consistency Shows how close the point estimator to the value of the parameter as the sample size…

Q: What should we do with a small p-value?

A: The P-value is the probability we get the value of the test statistic, or something "more extreme"…

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A:

Q: In the original experiment, the average for the treatment group was 0.8 higher than the average for…

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A: Identify the correct option for the most appropriate method to create the estimate.   The correct…

Q: 1. What is the difference between the t-statistic you calculate from your sample and teritical that…

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A: We have to interpret z scores.

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A: Spearman rank correlation :   The non parametric counterpart of the Pearson product-moment…

Q: The

A: Design of experiment

2-Proportion Test

In a 2-proportion test, two separate proportions are measured at the same time, and their similarity is evaluated. It is also known as a 2-proportion z-test, and a comparison of two different proportions is done in this method.