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A hypothesis test that will test a claim that is of interest in the business world

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Hypothesis Test

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Hypothesis Test

A hypothesis test that will test a claim that is of interest in the business world

The average employee tenure for a particular company is 20 years. The company is not certain if the statement is true. It obtains a random sample of 100 staff. The average turns out to be 19 years. Besides, the standard deviation is two years. Can the corporation still make its claim, or does it need to make some adjustments?
Write the null and alternative hypotheses

= 20 years
≠ 20 years
Representative sample to test the claim

The representative samples will be focused on demographic categories. This will be done through evaluation of the age, socioeconomic status and education level of the employees (Banerjee & Chaudhury, 2010). More characteristic for consideration may arise in case the group under examination becomes larger. One hundred employees will be interviewed through questionnaires.

The inclusion criteria, in this case, will encompass employees on permanent employment and male or female employees below or 58 years of age. The exclusion criteria include employees that have not been employed permanently or are retiring within two years of the study and are above 58 years. Another exclusion criterion is the presence of specific diseases such as cancer, diabetes or stroke. The special population will also be excluded, which include physical disability, pregnancy or cognitive disability.
The type of test to be used

Z test will be used in this case since it encompasses statistical calculations that can be used in comparing the means of a population to a sample (Gaboardi, Rogers & Sheffet, 2019). The test will reveal the extent a point of data is from a data set average in standard deviation.

References

Banerjee, A., & Chaudhury, S. (2010). Statistics without tears: Populations and samples. Industrial psychiatry journal19(1), 60.

Gaboardi, M., Rogers, R., & Sheffet, O. (2019, April). Locally Private Mean Estimation: $ Z $-test and Tight Confidence Intervals. In The 22nd International Conference on Artificial Intelligence and Statistics (pp. 2545-2554)

 

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