Compute the pearson correlation coefficient of this data: r= The correlation is: Medium and negative Large and negative Large and positive Medium and positive   The alternative hypothesis in words for a two-tailed test is:

Which of the following conclusions might be a conclusion that a researcher would make if he/she had just rejected the null hypothesis? there is a correlation in the population all brands are equally preferred in the population The treated population scores the same as the general population There is no difference between the population with the drug and the population without the drug

Question is on image and values of 12.2 are on the image with handwriting

A professor at the University of New Hampshire was interested in evaluating the effect of the unemployment rate on the incarceration rate. Using data from 50 states and the District of Columbia (n = 51), the researcher computed the Pearson’s correlation coefficient between the two variables. The results are presented below.     Correlations   Incarceration Unemployment Incarceration Pearson Correlation 1 .209 Sig. (2-tailed)   .142 N 51 51 Unemployment Pearson Correlation .209 1 Sig. (2-tailed) .142   N 51 51 Using an alpha level of 0.05 and the four steps of the hypothesis testing process, test the research hypotheses that unemployment increases incarceration.         Step 3   Step 4   Based on your decision to step 4 what type of error might you be making?