Chapter 10 Flashcards
An estimate of sampling error that is determined from the standard deviation of the distribution of the sample means using the sample standard deviation to represent the population standard deviation.
Estimated standard error
Cases where we cannot use the Z test, statistic, T distributions and statistic Z distributions, using T as in inferential statistic
The T distribution
Predicting the population of psychics, conducting a one tail test, stating the null hypothesis, step one state hypothesis
One sample t-test
Step two: set decision criterion, setting the alpha, significance of 0.05, alpha level. critical range
One sample t-test
Step three: collecting sample data, collecting sample data, sample in the ESP study
One sample t-test
Step 4: calculate statistics, calculating estimated standard error and sample t
One sample t-test
Step five: make a decision, comparing sample T score with te it value, neither support for alternative hypothesis, nor provide evidence for null hypothesis, conclusion of the ESP test
One sample t-test
Normal distribution and independent observation
One sample t-test assumptions
Pretest posttest design, match design, related or paired sample t-test
Samples with related or pair data
Step one: state hypothesis, examples of alternative and null hypothesis, comparing sample mean from different scores 20, positive and negative difference scores
related or paired sample t-test
Step two: set the decision criterion, setting the alpha, criterion region
Related or paired sample t-test
Step three: collecting sample data, collecting the sample data, different scores
Related or paired sample t-test
Step 4: calculate statistics, calculating sample means, and sample deviation, calculating estimated standard error, finding the tcrit value
Related or paired sample t-test
Step five: make a decision, rejecting the null hypothesis, need for further testing
Related or paired sample T test
Normal distribution and independent score
Paired sample, t-test assumptions
Two Samples to compare, calculations in an independent test, rejecting, or retaining the hypothesis
Independent samples
Estimating sampling error for two samples, sampling error, and pooled variance
Independent samples
Step one: state hypothesis, stating that alternative hypothesis, and stating the null hypothesis
Independent sample t-test
Step two: set decision criterion, setting the alpha, critical region
Independent sample t-test
Step three: collect sample data, example of samples with different, mean accuracy score and variance
Independence sample t-test
Step 4: calculate statistics, Calculating descriptive and inferential statistics, calculating pooled variance, calculating estimated standard error, and calculating sample T scores
Independent sample t-test