The correlation coefficient \( \mathrm{r}=0.15 \) is given for a sample of \( n=27 \) data points. Use the \( \alpha=0.05 \) column in the accompanying table to determine whether or not we may conclude that a correlation does exist in the population. (Using the \( \alpha=0.05 \) column there is a probability of 0.05 that the variables are not really correlated in the population and our results could be attributed to chance. Ignore this possibility when concluding whether or not there is a correlation in the population.) Chick the icon to view the table of values for determining correlations in a population. Because \( \mathrm{r}=0.15 \) is greater than or equal to (Type an integer or a decimal.)

The grades on the second statistics test for Ms. Rose's class are in the following list. Find the frequency distribution for the grades. B, B, A, D, D, D, D, C, C, D, F, D, D, D, D, B, C, B, F, F, C

Identify the population, the sample, and any population parameters or sample statistics in the given scenario. In the 1960 s, a poll of 2617 homeowners in the United States resulted in a report that the average price of a house in the U.S. was \( \$ 18,500 \). Answer O Population: none given: Sample: 2617 homeowners polled: Sample Statistic: \( \$ 18,500 \) Opopulation: U.S. homeowners: Sample: none given; Population Parameter: \( \$ 18,500 \)

If a scatter plot shows points that are closely clustered together, what can you infer about the correlation between the variables?

Construct a box plot from the given data. Diameters of Cans in an Assembly Line: \( 5.8,5.7,5.2,5.5,5.3,5.7,5.8,5.4,5.9,5.3 \)

Scores on a test have a mean of 78 and a standard deviation of 13 . Tom has a score of 66 . Convert Tom's score to a \( z \)-score, rounded to the nearest hundredth.