Which function would we use if we wanted to know the probability that a discrete random variable equals a specific value. For example, what is the probability that we roll a 3 on a die?

This distribution allows us to model a situation where a certain number of events happen over a specified time interval. It is used to predict the amount of variation from a known average rate of occurrence within a given time frame. There is not a fixed number of events, so there is no ceiling on the number of events we can have.

Which function would we use if we wanted to know the probability that a random variable is more than a specific value? For example, what is the probability that we roll a value greater than 3 on a die?

Which of the following hypotheses would be considered the Alternative Hypothesis?

This distribution allows us to model a continuous random variable where the further away from the mean you are, the less likely the outcome. It is defined by a mean and a standard deviation. It is symmetric in shape, and the mean, median, and mode are equal.

Which type of t-test would we use if we wanted to find out if there is ANY difference between the means of two subgroups of a population? (a non-directional difference)

Which of the following are common assumptions we make when performing a t-test?

What type of statistical test would we use if we want to find out if two continuous variables have a statistically significant relationship? Maybe we are looking at how hours studied relates to exam scores or how height relates to weight. (Examples: pearson r, spearman)

Which of the following hypotheses would be considered the Null Hypothesis?

This distribution allows us to model the number of successes after a fixed number of trials, given a certain probability of success. This distribution assumes that each trial is independent. (Discrete, fixed # of events.) For example, the probability of throwing a 1 five times out of thirty-five tries.

What type of statistical test would we use if we want to determine whether there is a statistically significant difference between the expected and observed frequencies in one or more categories? In other words, if we want to test for group membership.

When doing hypothesis testing, what type of error do we make if we fail to reject our Null Hypothesis when in reality it is not True and should have been rejected? (For example, our test indicates there is not a relationship in the population, but in reality there IS a relationship.)

Which function would we use if we wanted to know the probability that a random variable is less than or equal to a specific value? For example, what is the probability that we roll a 3 or lower on a die?

Which type of t-test would we use if we wanted to find out if the mean of a subgroup of a population is less than the population mean? (a directional difference)

What type of statistical test would we use if we want to compare a categorical and a continuous variable by comparing the mean of the continuous variable by subgroups or the mean of a subgroup to the mean of the population?

When doing hypothesis testing, what type of error do we make if we reject our Null Hypothesis when in reality it is True? (For example, our test indicates there is a relationship in the population, but in reality there is no relationship.)

What is the first step we should take in Hypothesis Testing?