Final answer:
The null hypothesis is that the variance in heart rates from using beta blockers is not higher than the variance in heart rates from a pacemaker. The alternative hypothesis is that the variance in heart rates from using beta blockers is higher than the variance in heart rates from a pacemaker. To test these hypotheses, we compare the variances using the F-statistic and a significance level of 0.025.
Step-by-step explanation:
The null hypothesis is that the variance in heart rates from using beta blockers is not higher than the variance in heart rates from a pacemaker. The alternative hypothesis is that the variance in heart rates from using beta blockers is higher than the variance in heart rates from a pacemaker.
To test these hypotheses, we need to compare the variances of the two samples. The test statistic we will use is the F-statistic, which compares the ratio of the sample variances.
We can calculate the F-statistic using the formula:
F = (sample variance of beta blockers) / (sample variance of pacemakers)
Using the given sample variances, the F-statistic is:
F = 29 / 8 = 3.625
Next, we need to compare the F-statistic to the critical value from the F-distribution table at a significance level of 0.025. If the F-statistic is greater than the critical value, we reject the null hypothesis and conclude that the variance in heart rates from using beta blockers is higher than the variance in heart rates from a pacemaker.