Question

Question 15 (1 point)

Your friend tells you that the proportion of active Major League Baseball players who have a batting average greater than .300 is different from 0.72, a claim you would like to test. The hypotheses here are Null Hypothesis: p = 0.72, Alternative Hypothesis: p ≠ 0.72. If you take a random sample of players and calculate p-value for your hypothesis test of 0.2296, what is the appropriate conclusion? Conclude at the 5% level of significance.

Question 15 options:

	1) We did not find enough evidence to say the proportion of active MLB players that have an average higher than .300 is less than 0.72.
	2) We did not find enough evidence to say the proportion of active MLB players that have an average higher than .300 is larger than 0.72.
	3) The proportion of active MLB players that have an average higher than .300 is equal to 0.72.
	4) The proportion of active MLB players that have an average higher than .300 is significantly different from 0.72.
	5) We did not find enough evidence to say a significant difference exists between the proportion of MLB players that have an average higher than .300 and 0.72

Question 16 (1 point)

It is reported in USA Today that the average flight cost nationwide is $447.38. You have never paid close to that amount and you want to perform a hypothesis test that the true average is actually different from $447.38. The hypotheses for this situation are as follows: Null Hypothesis: μ = 447.38, Alternative Hypothesis: μ ≠ 447.38. If the true average flight cost nationwide is $447.38 and the null hypothesis is not rejected, did a type I, type II, or no error occur?

Question 16 options:

	1) Type I Error has occurred.
	2) We do not know the degrees of freedom, so we cannot determine if an error has occurred.
	3) We do not know the p-value, so we cannot determine if an error has occurred.
	4) No error has occurred.
	5) Type II Error has occurred

Answer 1

15)

P value is > 0.05

Do not reject H0

So,

5th option

We did not find enough evidence to say a significant difference exists between the proportion of MLB players that have an average higher than .300 and 0.72

16)

No error has occurred.