Math 210
Review for Final Exam
Final Exam Schedule:
12:00 class: Fri, May 6 at 8:00, VZN B30
1:00 class: Wed, May 4 at 2:00, VWF 104
2:00 class: Thur, May 5 at 10:30, VZN B30
*** Don’t forget to bring a calculator and your formula sheet(s). No sharing allowed.
The Final exam is cumulative.
Chapter 1: Picturing Distribution with Graphs – You should be able to construct and
interpret histograms, bar graphs, stemplots, pie charts, and time plots. You should be
able to determine if a distribution is symmetric or skewed, or if it has any outliers. You
should also know the difference between categorical and quantitative variables.
Chapter 2: Describing Distributions with Numbers – Given a data set, you should be
able to determine its mean, median, standard deviation, quartiles, and five number
summary. You should know when a mean is appropriate to use and when a median is
appropriate, and how the shape of a distribution affects the mean and median. You
should know what the interquartile range is and be able to construct boxplots.
Chapter 3: The Normal Distribution – You should know how to find the standardized
score (z) of a number from a Normal distribution. You should be able to find the
probability above, below or between given z-score(s) (using Normcdf). You should also
be able to give the value (x) given the probability (using invNorm). You should know
what the 68-95-99.7 rule is and how it is used. You should know how and differ
from
x
and s.
Chapter 4: Scatterplots and Correlation – You should know the difference between
explanatory and response variables. You should be able to construct a scatterplot and
describe its direction, form, and strength. You should know what correlation measures.
Chapter 5: Regression – You should be able to plot a regression line, use a regression
equation to predict an outcome for a given input, and know what the y-intercept and slope
mean in the context of the problem. You should know what r2 means. You should know
how to calculate residuals and make a residual plot. You should know what the
following terms mean and how they affect correlation and regressions: lurking variables,
influential observations, and extrapolation. You should know the relationship between
correlation and causation.
Chapter 6: Two-Way Tables – You should be able to read a two-way table and
understand the difference between marginal and conditional distributions. You should be
able to calculate conditional probabilities.
