MATH 227 STATISTICS FINAL EXAM - West Los Angeles College

25. In the simple linear regression model y = β0 + β1x, β
1
can be interpreted as the amount
y will be expected to change when the value of the predictor variable x is increased by one unit.
26. When a scatterplot is used to graph a bivariate data set, the variable plotted on the y-axis is
often called the response variable while the variable plotted on the x-axis is called the predictor
(explanatory) variable.
27. In Hypothesis Testing, a small p-value indicates that the observed sample results are
inconsistent with the null hypothesis.
28. The null hypothesis should be rejected when the p-value is larger than the significance level
of the test.
29. A simple linear regression model y = β0 + β1x, β
0
represents the probability of type II error
when performing a hypothesis test for β
1
.
2
30. The Chi-Squared χ test statistic is used to test independence between categorical data sets.
31. In testing the utility of a simple linear regression model, the test statistic is a t − ratio .
2
32. In categorical data analysis, a small value of the observed test statistic χ indicates that the
observed cell counts are reasonably similar to those expected when H 0 (categories are
independent) is true.
33. Categorical data used in a test for independence is often summarized in a two-way
contingency table.
34. The expected cell count for the row 1 and column 1 entry in a contingency table is equal to
the product of the row 1 and column 1 “marginal” totals.
35. Two outcomes are independent if the chance that one outcome occurs is unaffected by
knowledge of whether or not the other occurred.
36. Binomial and Poisson random variables are all examples of discrete random variables.
4