Question

# t-Test for One Sample Mean 1. Let’s assume that lab rates require an average of 32...

t-Test for One Sample Mean

1. Let’s assume that lab rates require an average of 32 trials in a complex water maze before reaching a criterion of three consecutive error-less trials. To determine whether a mildly adverse stimulus has any effect on performance, a sample of 7 lab rats were given a mild electric shock just before each trial.

1. Given research results that show a sample mean of 34.89 and a sample standard deviation of 3.02, test the null hypothesis with a t-Test, using the .05 level of significance.
2. If appropriate, construct a 95 percent confidence interval for the true number of trials required to learn the water maze.
3. If appropriate, interpret that confidence interval

1. Research Problem: Does mildly adverse shock have any effect on performance of the water maze?

Statistical Hypotheses:

H0:                                     .

H1:                                     .

Decision Rule: Reject H0 at .05 level of significance if                                                                       ,

given that df =                                                                                                           .

Calculations:                                                                                                                                        .

.

.

.

Decision:                                                                                                                                              .

Interpretation:                                                                                                                                       .

.

.

1. Confidence Interval:                                                                                                                            .

c. Interpretation:                                                                                                                                         -

PL??

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