PSYC3500 M4 Exam Review: Ch. 7-8

What are the two types of estimation?

• point estimate

• variability estimate

• interval estimate

• statistical estimate

What is the formula for calculating degrees of freedom?

• n¹ - n²

• n - 1

• n + 1

What are the three assumptions of a one sample t test?

• normality, equal variances, and convenient sampling

• normality, random sampling, and independence

• controlled sampling, equal variances, and normality

• controlled sampling, independence, and uniformity

What does the proportion of variance estimate?

• how much of the variability was controlled for by the researcher

• how much of the variability in a IV can be explained by the DV (treatment)

• how much of the variability in a DV can be explained by the IV (treatment)

What is true about eta-squared?

• It is the most reliable measure of effect size

• It tends to overestimate effect size

• it is unbiased estimate of effect size

What is normality?

• probabilities of each measured outcome in a study are independent

• data were obtained using a random sampling procedure

• data in the population being sampled is normally distributed

• conditions in which data was collected were normal

What is random sampling?

• probabilities of each measured outcome in a study were due to random events

• data were obtained using a random sampling procedure

• data in the population being sampled is normally distributed

• conditions in which data was collected were normal

What is independence?

• probabilities of each measured outcome in a study are independent

• data were obtained using a random sampling procedure

• data in the population being sampled is independently distributed

• conditions in which data was collected were normal

Which type of error is directly controlled for by the alpha level?

• Type I Error

• Type II Error

The t statistic places what value in the numerator and what value in the denominator?

• Numerator: mean difference

  Denominator: estimate of effect size

• Numerator: SD difference

  Denominator: estimate of variance

• Numerator: mean difference

  Denominator: estimate of SE