Standard error of the difference between the means

Reference no: EM1321973

Hypothesis testing for difference between two population means

Two independent samples were taken from two populations with the following results:

Sample 1	Sample 2
Sample size = 48	Sample size = 39
Mean = 15	Mean = 11
Population standard deviation = 1.8	Population standard deviation = 2.9

For the hypothesis test:
H0 : μ1 - μ2 ≤ 1
H0 : μ1 - μ2 > 1

a. What is the standard error of the difference between the means?

b. What is the value of the test statistic?

Reference no: EM1321973

Questions Cloud

Using the p-value approach-test the hypotheses : Using the p-value approach, test the hypotheses at the 1% level of significance.

Calculate the mean, variance, and standard deviation : Calculate the mean, variance, and standard deviation of this distribution.

Case study on carolcon metals : Carolcon Metals in Minnesota is in trouble. For the past 5 years, they have been losing ground to the competition in an especially fierce industry. All competitors have moved mining and production facilities to countries with lower wages and fewer..

Finding most effective it projects : What will you recommend they do in order to find the most effective IT projects?

Standard error of the difference between the means : What is the standard error of the difference between the means?

Resolving the ambiguities in the software : Describe what you must do in such a situation. You know that cost to your current employer will increase in case the ambiguities are not resolved. Though, you have also a responsibility of confidentiality to your previous employer.

Using analysis of variance to test differences in mean : Use analysis of variance to test any differences in mean glue strengths.

Customer environment of the pink berry company : Write down a customer environment of the Pink berry Company (around 500 words with references) in this paper, current and potential customers are identified and described.

Level of significance-convincing evidence : At the .05 level of significance, is there convincing evidence that the number of absences per employee has increased?

User Account

All Pages