Answer:
The equation representing the Total number of points is .
Step-by-step explanation:
Given:
Total Point scored = 102
Let Number of basket scored be 'x'
Let Number of free throws be 'y'
Total Point Scored will be equal to sum of Number of basket scored multiplied by point scored in basket and Number of Free throws multiplied by point scored in free throws.
Framing the equation we get;
Hence The equation representing the Total number of points is .
Answer:
a)
The null hypothesis is .
The alternate hypothesis is .
The decision rule is: accept the null hypothesis for , reject the null hypothesis for
.
Since , we reject the null hypothesis and accept the alternate hypothesis that that percentage of athletes who graduate is less than for the student population at large.
b)
The p-value for this test is 0.0367. Since this p-value is less than the significance level of , we reject the null hypothesis and accept the alternate hypothesis that that percentage of athletes who graduate is less than for the student population at large.
Step-by-step explanation:
Question a:
Perform the appropriate hypothesis test to determine whether this is significant evidence that the percentage of athletes who graduate is less than for the student population at large:
At the null hypothesis, we test if the proportion is the same as the student population, of 91%. Thus:
At the alternate hypothesis, we test that the proportion for athletes is less than 91%, that is:
The test statistic is:
In which X is the sample mean, is the value tested at the null hypothesis,
is the standard deviation and n is the size of the sample.
Test if the proportion is less at the 0.05 level:
The critical value is z with a p-value of 0.05, that is, z = -1.645. Thus, the decision rule is: accept the null hypothesis for , reject the null hypothesis for
.
0.91 is tested at the null hypothesis:
This means that
A sports reporter contacted 152 athletes randomly sampled from that same university and time period and found that 132 of them had graduated within 6 years.
This means that
Value of the test statistic:
Since , we reject the null hypothesis and accept the alternate hypothesis that that percentage of athletes who graduate is less than for the student population at large.
(b) (3 points) Calculate the P-value for this test. Explain how this P-value can be use to test the hypotheses in part (a).
The p-value of the test is the probability of finding a sample proportion of 0.8684 or below. This is the p-value of z = -1.79.
Looking a the z-table, z = -1.79 has a p-value of 0.0367.
The p-value for this test is 0.0367. Since this p-value is less than the significance level of , we reject the null hypothesis and accept the alternate hypothesis that that percentage of athletes who graduate is less than for the student population at large.