In: Statistics and Probability
Suppose that the mean cholesterol level for males aged 50 is 241. An investigator wishes to examine whether cholesterol levels are significantly reduced by modifying diet only slightly. A sample of 12 patients agrees to participate in the study and follow the modified diet for 3 months. After 3 months, their cholesterol levels are measured and the summary statistics are produced on the n = 12 subjects. The mean cholesterol level in the sample is 235 with a standard deviation of 12.5. Based on the data, is there statistical evidence that the modified diet reduces cholesterol at 5% significance level? Calculate the value of the test statistic for the appropriate hypothesis
Solution:
Given: the mean cholesterol level for males aged 50 is 241.
We have to test whether cholesterol levels are significantly reduced by modifying diet only slightly.
that is: test if
Sample size = n = 12
Sample mean =
Sample Standard deviation = s = 12.5
Level of significance = 0.05
Thus hypothesis are:
Test statistic:
Find t critical value:
df = n- 1= 12 - 1 = 11
One tail area = Level of significance = 0.05
t critical value = -1.796
( it is negative, since this is left ( < ) tailed test)
Decision Rule:
Reject null hypothesis H0, if t test statistic value < t critical value =-1.796, otherwise we fail to reject H0
Since t test statistic value = t = -1.663 > t critical value =-1.796, we fail to reject H0.
Conclusion:
At 5% significance level, there is no statistical evidence that the
modified diet reduces cholesterol.