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A sample of n = 16 scores is selected from a population with µ = 100 and σ = 32.  If the sample mean is M = 104, what is the z-score for this sample mean?

A normal distribution has a mean of µ = 100 with σ = 20.   If one score is randomly selected from this distribution, what is the probability that the score will have a value between X = 80 and X = 100?

When alpha = .01 and a researcher rejects the null hypothesis, we can conclude that the sample outcome ______________.

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 = 0.75. a) Why is it important to compute an effect size? b) Please interpret the Cohen’s d value (d = 0.75) by explaining what it means in terms of automobile ownership and happiness.

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?

What is a benefit of sampling with replacement?

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?

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