Author: Anonymous

For a sample taken from a population with µ=38 and σ=6, which sample size would likely create the smallest σM?

When is there a risk of a Type II error?

What is the consequence of a Type I error?

If random samples, each with n = 4 scores, are selected from a normal population with µ = 80 and σ = 36, then what is the standard error for the distribution of sample means?

What is a benefit of sampling with replacement?

Which of the following accurately describes the effect of increasing the sample size?

Which combination of factors will increase the chances of rejecting the null hypothesis?

Which of the following accurately describes a hypothesis test?

What proportion of a normal distribution is located in the tail beyond z = 2.14?

Imagine that you conducted a hypothesis test examining how automobile ownership (i.e., someone owns an automobile or does not own an automobile) affects happiness (measured by a survey). You found that people who do not own automobiles tend to be significantly happier than those that do own an automobile. You then computed the effect size, d = 1.25. a) Why is it important to compute an effect size? b) Please interpret the Cohen’s d value (d = 1.25) by explaining what it means in terms of automobile ownership and happiness.