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Null Hypothesis (H0) Answer: The claim that we weigh evidence against in a statistical test; usually a statement of "no difference" Alternative Hypothesis (Ha) Answer: The claim about the population that we try to weigh evidence for. One-sided alternative hypothesis Answer: If it states that a parameter is larger than the null hypothesis value or if it states that the parameter is smaller than the null value. Two-sided alternative hypothesis Answer: If ...

Interpret the correlation "r" Answer: There is a ___________ __________ linear relationship between ___________ (x) and ____________(y). Interpret the coefficient of determination "r^2" Answer: ___% of the variation in _________ (y) can be explained by the linear relationship with _________ (x). Interpret the slope "b" Answer: For every 1 unit increase in ___________ (x), our model predicts an average _________ of __(b) in _________ (y). Interpret the y int...

Statistics (As a Whole) Answer: We begin with a population and something we want to know about that population. If the population is small, we can perform a census (gather data from every individual) and calculate a parameter (a summary of our whole population). If a population is too big to perform a census, we can perform a sample (gather data from a small group of individuals in our population) and calculate a statistic Variability Answer: Differences... how things di...

What are categorical variables? Answer: No meaningful order; averages cannot be taken and have meaning; numbers are not important except for the frequency. What are examples of categorical variables? Answer: Gender, political affiliation, and eye color. What are quantitative variables? Answer: Order is meaningful; averages should have meaning; numbers are very important. What are examples of quantitative variables? Answer: GPA, number of pets, and salary....

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