Vhich of the following statements are true concerning the mean of the differences between two dependent samples (matched pairs)? elect all that apply. ]A. The methods used to evaluate the mean of the differences between two dependent variables apply if one has 62 weights of voters from Ohio and 62 weights of vot B. If one has twenty matched pairs of sample data, there is a loose requirement that the twenty differences appear to be from a normally distributed population. C. The requirement of a simple random sample is satisfied if we have dependent pairs of convenience sampling data. I D. If one wants to use a confidence interval to test the claim that H, >0 with a 0.05 significance level, the confidence interval should have a confidence level of 90%. 1E. If one has more than 2 matched pairs of sample data, one can consider the sample to be large and there is no need to check for normality.

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### Understanding the Mean of the Differences in Matched Pairs

**Which of the following statements are true concerning the mean of the differences between two dependent samples (matched pairs)?**

**Select all that apply:**

- **A.** The methods used to evaluate the mean of the differences between two dependent variables apply if one has 62 weights of voters from Ohio and 62 weights of voters from Texas.

- **B.** If one has twenty matched pairs of sample data, there is a loose requirement that the twenty differences appear to be from a normally distributed population.

- **C.** The requirement of a simple random sample is satisfied if we have dependent pairs of convenience sampling data.

- **D.** If one wants to use a confidence interval to test the claim that \(\mu_d > 0\) with a 0.05 significance level, the confidence interval should have a confidence level of 90%.

- **E.** If one has more than 2 matched pairs of sample data, one can consider the sample to be large and there is no need to check for normality.

This list of statements provides various considerations when evaluating statistical methods related to the mean of differences between dependent samples. It is crucial to assess which conditions and requirements each method necessitates for accurate results.
Transcribed Image Text:### Understanding the Mean of the Differences in Matched Pairs **Which of the following statements are true concerning the mean of the differences between two dependent samples (matched pairs)?** **Select all that apply:** - **A.** The methods used to evaluate the mean of the differences between two dependent variables apply if one has 62 weights of voters from Ohio and 62 weights of voters from Texas. - **B.** If one has twenty matched pairs of sample data, there is a loose requirement that the twenty differences appear to be from a normally distributed population. - **C.** The requirement of a simple random sample is satisfied if we have dependent pairs of convenience sampling data. - **D.** If one wants to use a confidence interval to test the claim that \(\mu_d > 0\) with a 0.05 significance level, the confidence interval should have a confidence level of 90%. - **E.** If one has more than 2 matched pairs of sample data, one can consider the sample to be large and there is no need to check for normality. This list of statements provides various considerations when evaluating statistical methods related to the mean of differences between dependent samples. It is crucial to assess which conditions and requirements each method necessitates for accurate results.
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