# hypothesis test for a population mean i give you eaxample make same one but diffrenet words

## Learn by Doing

This activity gives you practice explaining the different parts of the StatCrunch print-out for a hypothesis test for a population mean. You will review the meaning of standard error, T-scores and the P-value.

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Here are the directions, grading rubric, and definition of high-quality feedback for the discussion board exercises.

A list of StatCrunch directions is provided at the bottom of this page.

### Prompt

1. In a previous lab we tested the following hypotheses, H

0: μ

= 4.73 and H

a: <img src="https://4cd.instructure.com/equation_images/%255Cmu%253C4.73" alt="LaTeX: mu

μ

< 4.73 (where μ

is the mean number of alcoholic drinks consumed by students at a liberal arts college).

In a random sample of 75 students, the mean was 3.93 alcoholic drinks consumed in a week. Here is the StatCrunch output from the hypothesis test. μ

: Mean of variable H

0: μ

= 4.73 H

A: μ

≠ 4.73

Hypothesis test results
VariableSample MeanStd. Err.DFT-StatP-value
number of drinks per week3.93333330.4359243474-1.82753430.0717

Using this context and the StatCrunch output, explain the meaning of each of the following.

1. Std. Err (standard error)
2. T-stat (T-score)
3. P-value
2. In a previous matched pairs lab we tested the following hypotheses, where μ

is the mean of the differences in corn yield for a plot of land (regular seed minus kiln-dried): H0: µ = 0 and Ha: µ < 0. In a random sample of 11 seeds of each type, the mean of the differences in the sample was -33.7. Here is a StatCrunch print-out of the hypothesis test.

Paired T hypothesis test: μ

D = μ 1 − μ 2: Mean of the difference between Regular seed and Kiln-dried seed H

0: μ

D = 0 H

A: <img src="https://4cd.instructure.com/equation_images/%255Cmu_D%253C0" alt="LaTeX: mu_D

μ

D < 0

Hypothesis test results
DifferenceMeanStd. Err.DFT-StatP-value
Regular seed – Kiln-dried seed-33.72727319.95134610-1.69047610.0609

Differences stored in column, Differences.

Using this context and the StatCrunch output, explain the meaning of each of the following.

1. Std. Err (standard error)
2. T-stat (T-score)
3. P-value.

Example to rigth answer { hint }

1.) a. The Standard error is 0.44 which means that the sample means deviate .44 drinks away from the population mean of 4.73 drinks.

b. The T-stat is -1.83 which means that the sample mean is 1.8 standard errors below the population mean of 4.73 drinks, which equals 3.93 drinks.

c. The P-value is 0.07 so if the population mean is 4.73 drinks, when we select 75 students there is a 7% chance that the sample mean will have a bigger error than the sample (.8)

2.) The standard error is 19.95 which means that the differences in plant yield deviate 19.95 plants from the mean of 33.73 plants.

b. The T-stat is -1.69 which means that the sample mean is 1.69 standard errors below the population mean of differences in plant yield.

c. The P-value is .06 which means that 6% of the time, a random sample of 11 plots of land with a mean difference of 33.73 plants will a larger absolute error than observed in our sample.

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