Question

In: Statistics and Probability

We would like to conduct a hypothesis test at the 5% level of significance to determine...

We would like to conduct a hypothesis test at the 5% level of significance to determine
whether hockey players weigh more on average than baseball players. We record the
weights of a random sample of 12 professional hockey players and 7 professional baseball
players. Weights of athletes in both sports are known to follow normal distributions.
Some summary statistics are given below:
Sport n x s d
Baseball 7 187.571 7.72
Hockey 12 195.583 18.39
Based on the data, we would fail to reject the null hypothesis of the appropriate test of
significance, since
(A) t = 1.32 < t∗ = 1.943
(B) t = 1.09 < t∗ = 1.740
(C) t = 1.32 < t∗ = 1.645
(D) t = 1.09 < t∗ = 2.110
(E) t = 1.32 < t∗ = 2.447

Solutions

Expert Solution


Related Solutions

Conduct a hypothesis test with a 5% level of significance on the claim that the average...
Conduct a hypothesis test with a 5% level of significance on the claim that the average annual salary for a registered nurse in the state of Washington in 2017 was $55,000. Plainly state your null and alternative hypothesis, what type of test you are using, and why. Data: 61000, 57700, 120100, 8500, 55200, 53000, 40700, 48800, 33800, 50100, 40900, 56300, 56100, 34600, 2100, 42600, 2400, 48600, 21300, 52600, 87900, 29700, 43300, 33200, 41500, 47600, 79100, 38300, 8500, 112000, 10100, 79100,...
A hypothesis test with a 5% level of significance is designed to test the claim that...
A hypothesis test with a 5% level of significance is designed to test the claim that the mean weight of a new breed of chickens is greater than 6.00 pounds. A sample of 81 chickens is obtained and their mean weight is 6.20 pounds with a sample standard deviation of 0.50 pounds. No information is available concerning the standard deviation of the whole population of the new breed. What is the critical value (from Table A-3) and the test statistic...
Assume that we would like to test at significance level 0.01 whether there is enough evidence...
Assume that we would like to test at significance level 0.01 whether there is enough evidence to claim that average height of children by the end of age three in families with low-socioeconomic status is less than the general average height for this age, which is 94 cm. Assume that height measurements by the end of age three follow a normal distribution with standard deviation 6 cm. (a) Write the null and alternative hypothesis for the hypothesis testing procedure that...
Assume that we would like to test at significance level 0.01 whether there is enough evidence...
Assume that we would like to test at significance level 0.01 whether there is enough evidence to claim that average height of children by the end of age three in families with low-socioeconomic status is less than the general average height for this age, which is 94 cm. Assume that height measurements by the end of age three follow a normal distribution with standard deviation 6 cm. For this study, assume that 9 children (from families with low socioeconomic status...
For each of the 2 majors, conduct a full hypothesis test at the 10% significance level:...
For each of the 2 majors, conduct a full hypothesis test at the 10% significance level: The mean ‘Cost’ for a college is $160,000. 2. For Business versus Engineering majors conduct a full, two-sample, full hypothesis test at the 5% significance level (assume the variances are not equal):The average ’30-Year ROI’ for Business majors is less than for Engineering Majors. 3.  In a highlighted box, explain how each hypothesis test contributes to the central question of which major would give the...
If the test is done at a 5% level of significance, the null hypothesis should
n = 49 H0: μ = 50 x = 54.8 Ha: μ ≠ 50 σ = 28 If the test is done at a 5% level of significance, the null hypothesis should a. not be rejected b. be rejected c. Not enough information given to answer this question. d. None of the other answers are correct.
Test the Business Major's hypothesis at the 5% significance level. The mean ‘Cost’ for a college...
Test the Business Major's hypothesis at the 5% significance level. The mean ‘Cost’ for a college is $160,000. Be sure to interpret your results. List your givens - n, standard deviation, alpha... Provide the formula you will use. Why are you using that formula? How does it fit the situation? Show how you have plugged in the numbers. What is your computed test statistic? Show the computation of the p value. Will you reject or fail to reject the null...
Conduct a test at the a = 0.05 level of significance by determining (a) the null...
Conduct a test at the a = 0.05 level of significance by determining (a) the null and alternative hypotheses (b) the test statistic (c) the critical value, and (d) the P-value. Assume that the samples were obtained independently using simple random sampling. 1. Test whether p1 is not equal to p2. Sample data: x1 = 804, n1 = 874, x2 = 902, n2 = 954
Conduct the following test at the alphaequals0.01 level of significance by determining ​(a) the null and...
Conduct the following test at the alphaequals0.01 level of significance by determining ​(a) the null and alternative​ hypotheses, ​(b) the test​ statistic, and​ (c) the​ P-value. Assume that the samples were obtained independently using simple random sampling. Test whether p 1 not equals p 2. Sample data are x 1 equals 28​, n 1 equals 254​, x 2 equals 38​, and n 2 equals 302. ​(a) Determine the null and alternative hypotheses. Choose the correct answer below. A. Upper H...
Conduct a test at the alphaequals0.05 level of significance by determining ?(a) the null and alternative?...
Conduct a test at the alphaequals0.05 level of significance by determining ?(a) the null and alternative? hypotheses, ?(b) the test? statistic, and? (c) the? P-value. Assume the samples were obtained independently from a large population using simple random sampling. Test whether p 1 greater than p 2. The sample data are x 1 equals 117?, n 1 equals 243?, x 2 equals 138?, and n 2 equals 303.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT