Question

Women athletes at the a certain university have a long-term graduation rate of 67%. Over the past several years, a random sample of 36 women athletes at the school showed that 22 eventually graduated. Does this indicate that the population proportion of women athletes who graduate from the university is now less than 67%? Use a 10% level of significance.

(a) What is the level of significance? State the null and alternate hypotheses. H0: p = 0.67; H1: p < 0.67 H0: p = 0.67; H1: p ≠ 0.67 H0: p = 0.67; H1: p > 0.67 H0: p < 0.67; H1: p = 0.67

(b) What sampling distribution will you use? The Student's t, since np > 5 and nq > 5. The standard normal, since np < 5 and nq < 5. The Student's t, since np < 5 and nq < 5. The standard normal, since np > 5 and nq > 5. What is the value of the sample test statistic? (Round your answer to two decimal places.)

(c) Find the P-value of the test statistic. (Round your answer to four decimal places.)

(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α? At the α = 0.10 level, we reject the null hypothesis and conclude the data are statistically significant. At the α = 0.10 level, we reject the null hypothesis and conclude the data are not statistically significant. At the α = 0.10 level, we fail to reject the null hypothesis and conclude the data are statistically significant. At the α = 0.10 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

(e) Interpret your conclusion in the context of the application. There is sufficient evidence at the 0.10 level to conclude that the true proportion of women athletes who graduate is less than 0.67. There is insufficient evidence at the 0.10 level to conclude that the true proportion of women athletes who graduate is less than 0.67.

Answer 1

(a)

Population Proportion of women athletes who graduate : p = 67/100 = 0.67

To test whether population proportion of women athletes who graduate from the university is now less than 67

Null hypothesis : H_o : p =0.67

Alternate hypothesis : H_a : p < 0.67

Left tailed test

Level of significance : : 10/100 = 0.10

H_o : p =0.67 ; H_a : p < 0.67

(b)

Given,

Random sample size : Number of women athletes in the sample : n= 36

Number of women athletes from the sample who have graduated : x = 22

Sample proportion of athletes who graduated : = x/n = 22/36 = 0.6111

np : 36 x (22/36)=22 and nq : n(1-p)=n-np = 36-22=14

Therefore , np > 5 and nq > 5

Sampling distribution to use : The standard normal, since np > 5 and nq > 5

Hypothesized Proportion : p_o = 0.67

(c)

P-value of the test statistic :

For left tailed test :

(d)

As P-Value i.e. is greater than Level of significance i.e (P-value:0.2261 > 0.1:Level of significance); Fail to Reject Null Hypothesis
At the α = 0.10 level, we fail to reject the null hypothesis and conclude the data are not statistically significant

(e)

There is insufficient evidence at the 0.10 level to conclude that the true proportion of women athletes who graduate is less than 0.67.