In a study of cell phone usage and brain hemispheric dominance, an Internet survey was e-mailed to 6975 subjects randomly selected from an online group involved with ears. There were 1291 surveys returned. Use a 0.01 significance level to test the claim that the return rate is less than 20%. Use the P-value method and use the normal distribution as an approximation to the binomial distribution. Identify the null hypothesis and alternative hypothesis. OA. Ho: p<0.2 OB. Ho: p=0.2 H₁: p>0.2 H₁: p=0.2 OC. Ho: p=0.2 OD. Ho:p>0.2 H₁: p<0.2 H₁: p=0.2 OE. Ho: p=0.2 H₁: p=0.2 OF. Ho:p*0.2 H₁: p=0.2

Summarize the similarities and differences between the one-sample t test, independent-measures t test, and repeated-measure t test.

​Claim: Most adults would erase all of their personal information online if they could. A software firm survey of 488 randomly selected adults showed that 56​% of them would erase all of their personal information online if they could. Find the value of the test statistic.

Explain the difference between a one-tailed and two-tailed significance test. When is it appropriate to use each test?

Claim: Most adults would erase all of their personal information online if they could. A software firm survey of 455 randomly selected adults showed that 61% of them would erase all of their personal information online if they could. Find the value of the test statistic.

Explain the difference between hypothesis testing with test statistics vs. hypothesis testingwith p-values.

which statistical analysis correctly analyzes the repeated measures (also known as within subjects) design?

A statistician changes her level of significance from .001 to .05.  What impact will this change have on her risk of making a Type I and Type II error?  Is the change in the level of significance a good decision?  Why or why not?