Determine which statistical method(s) is/are appropriate to answer the question(

Question

Determine which statistical method(s) is/are appropriate to answer the question(s). You do not need to perform any actual analyses. Just state the method(s) that will best answer the questions. Give a one sentence explanation for your choice in each case. (You may assume all necessary assumptions are met, such as normality, common variance, etc., when they apply.) Your choices are:

Hypothesis tests and/ or confidence intervals

for a single population proportion                            to compare two population means using independent samples

for a single population mean                                      to compare two population proportions

for a single population variance                                 to compare two population means using paired data

to determine independence/dependence of rows and columns in a table

Checking for the existence of a linear relationship with a scatter plot and correlation

When research journal articles are submitted for publication, they are typically reviewed by other experts before they are accepted or rejected. A large sample of 13,000 article submissions recorded. Suppose that when the articles are reviewed “blind” (that is, authors and their institutions not identified), 27% were accepted. But when the review was not “blind,” 29% were accepted. How could journal editors determine whether or not “blind” review affects the acceptance rate?

Explanation / Answer

When research journal articles are submitted for publication, they are typically reviewed by other experts before they are accepted or rejected. A large sample of 13,000 article submissions recorded. Suppose that when the articles are reviewed “blind” (that is, authors and their institutions not identified), 27% were accepted. But when the review was not “blind,” 29% were accepted. How could journal editors determine whether or not “blind” review affects the acceptance rate?

hypothesis test to compare two population proportions

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