## Math 170/171: Chapters 1 - 3 Study Guide

- Identify whether descriptive or inferential statistics has been used. Three parts.
- Identify the level of measurement (nominal, ordinal, interval, or ratio) which has been used.
Three parts.
- Identify each type of sampling as random, cluster, convenience, stratified, or systematic.
Three parts.
- Find the class boundaries, class mark, and class width for a given interval.
- Create a stem and leaf plot. Be sure you know how to handle data with a decimal point in it.
- Find the mean (can use the calculator for the mean), median, and modal class for a frequency
distribution.
- For a sample set, find some statistics. Eight parts. The statistics may be: mean*, standard
deviation*, variance, minimum*, maximum*, median*, 1st quartile*, 3rd quartile*, range,
lower hinge, upper hinge, midrange, mode. The *'d problems can be found directly using the
calculator.
- Know which statistics involve all the data values. Multiple choice - circle all correct
responses. You should know the mean, standard deviation, and variance do; the median,
midrange, mode, and range don't.
- Know which statistics are greatly affected by extreme values. Multiple choice - circle all
correct responses. You should know the mean, standard deviation, variance, midrange, and
range are; the median and mode aren't.
- Supply the term which best matches the definition. Eight parts. You should know the
definitions of: (chapter 1) population, sample, variable; (chapter 2) histogram, ogive; (chapter
3) empirical rule, five-number summary, median, midrange, mode, outlier, parameter,
standard deviation, statistic, variance.
- Given the sample size, sum of the values, and sum of the squares of the values (not the same
as the sum of squares of deviations from the mean that we called SS), find the sample mean
and sample variance.
- Use a random number table to generate five random numbers.
- Use the calculator to generate random numbers and record the values into a frequency
distribution using tally marks as the numbers are generated. Then write the frequencies. Find
the mean, variance, and standard deviation for the distribution. Construct a histogram.

Last updated: Sunday, June 14, 1998 at 11:02 PM

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