Question

For comparing means of two populations, for a given alpha error, what can you do to...

For comparing means of two populations, for a given alpha error, what can you do to achieve a desired power of test?

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

Ans: Given data

a) The power of a hypothesis test is affected by two factors.

Sample size (n). Other things being equal, the greater the sample size, the greater the power of the test.

then,

b) The "true" value of the parameter being tested. The greater the difference between the "true" value of a parametr and the value specified in the null hypothesis, the greater the power of the test. That is, the greater the effect size, the greater the power of the test.

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
When completing a hypothesis test you are comparing the two population means. How do you write...
When completing a hypothesis test you are comparing the two population means. How do you write the null hypothesis? Explain how to determine, in detail, which distribution to use. Assume both distributions are normal or both n's are at least 30. When completing a hypothesis test you are comparing the two population proportions. How do you write the null hypothesis? In order to complete hypothesis test for two population proportions, what requirements need to be met?
Suppose you are statistically comparing the means of two populations with the following hypotheses: ?0: ?1...
Suppose you are statistically comparing the means of two populations with the following hypotheses: ?0: ?1 ≤ ?2, ?1: ?1 > ?2. The sample sizes from the two populations are ?1 = 16 and ?2 = 13, and the variances of the two populations are assumed to be unknown but equal. Find the bounds for the ?-values if using the book, or the explicit ?-values if using Excel, for the following test statistics associated with this problem. Draw conclusions with...
If you are comparing the center of two populations, the sample size is less than 10,...
If you are comparing the center of two populations, the sample size is less than 10, and there are a few outliers, the best test is: a) Z test b) one-sample T test c) two-sample T test d) Mann-Whitney Test
Comparing two means can be tricky in statistics since usually one of the groups is manipulated...
Comparing two means can be tricky in statistics since usually one of the groups is manipulated in some type of way (i.e., given a placebo). How do statisticians overcome this obstacle to generate good data? Sometimes it is necessary to compare the means of several variables. When might this be the case? Why?
Test the indicated claim about the means of two populations. Assume that the two samples are...
Test the indicated claim about the means of two populations. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume the population standard deviations are equal. Suppose you are interested if a name brand candle is made from the same wax as the generic store brand candle. You decide that they smell the same, so the only question left is if they last as long as a generic brand candle (of the...
Test the indicated claim about the means of two populations. Assume that the two samples are...
Test the indicated claim about the means of two populations. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Use the traditional method or P-value method as indicated. Two types of flares are tested and their burning times (in minutes) are recorded. The summary statistics are given below. n = 35 n = 40 = 19.4 min   = 15.1 min s = 1.4 min...
Independent random samples are selected from two populations. The summary statistics are given below. Assume unequal...
Independent random samples are selected from two populations. The summary statistics are given below. Assume unequal variances for the questions below. m = 5 x ̅ = 12.7 s1 = 3.2 n = 7 y ̅ = 9.9 s2 = 2.1 a) Construct a 95% confidence interval for the difference of the means. b) Using alpha = 0.05, test if the means of the two populations are different based on the result from part (a). Explain your answer.
Test the indicated claim about the means of two populations. Assume that the two samples are...
Test the indicated claim about the means of two populations. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Use the traditional method. 1) A researcher was interested in comparing the response times of two different cab companies. Companies A and B were each called at 50 randomly selected times. The calls to company A were made independently of the calls to company B....
When we are comparing two population means from two groups (suppose they are called Group 1...
When we are comparing two population means from two groups (suppose they are called Group 1 and Group 2), which of the following statistics do we use to make a confidence interval or perform a hypothesis test for a difference in means?
To compute an interval estimate for the difference between the means of two populations, the t...
To compute an interval estimate for the difference between the means of two populations, the t distribution a. is restricted to small sample situations. b. is not restricted to small sample situations. c. can be applied when the populations have equal means. d. can be applied only when the populations have equal standard deviations.
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT