1. # lab hypotheses,

2. In a previous lab we tested the following hypotheses, H 0 μ = 4.73 and H a 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. μMean of variable H 0: μ = 4.73 H A μ ≠ 4.73

Hypothesis test results
Variable Sample Mean Std. Err. DF T-Stat P-value
number of drinks per week 3.9333333 0.43592434 74 -1.8275343 0.0717

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
3. ## lab hypotheses,

4. 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 μ D < 0

Hypothesis test results
Difference Mean Std. Err. DF T-Stat P-value
Regular seed – Kiln-dried seed -33.727273 19.951346 10 -1.6904761 0.0609

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. 