Pennsylvania Refining Company is studying the relationship between the pump price of gasoline and the number of gallons sold. For a sample of 13 stations last Tuesday, the correlation was 0.73. 1. State the decision rule for 0.025 significance level. (Round your answer to 3 decimal places.) Reject H0 if t > 2. Compute the value of the test statistic. (Round your answer to 3 decimal places.) Value of the test statistic is 3. Can we conclude that the correlation in the population is greater than zero? Use the 0.025 significance level. |но. We conclude that the correlation in the population is Zero.

The sample data here is the cholesterol levels for 10 men diagnosed with high cholesterol. The first row represents levels from 10 men who did not use the drug and the second row from 10 different men who did use the drug. If we want to test the claim that the mean level for all men who use the drug is less than the mean for all men who do not use it, what is the appropriate alternative hypothesis?    The mean cholesterol level of males who take the medicine is higher than the mean cholesterol levels of men who do not take it.       There is a significant difference between males who use the medicine and men who do not use the drug in terms of mean cholesterol levels.       The mean cholesterol level of males who take the medicine is lower than the mean cholesterol levels of men who do not take it.       There is no significant difference between males who use the medicine and men who do not use the drug in terms of mean cholesterol levels.

Thank you in advance :)

You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 21 22 39 21 38 18 23 22 79 36 42 22 65 29 Ho: p = 0 Ha: p= 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is O Less than (or equal to) a Greater than a The p-value leads to a decision to O Reject Ho O Accept Ho O Do Not Reject Ho The conclusion is O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. O There is a significant negative linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation…