stat 201 spring 2022

1. Introduction
STAT 201
Anderson Bussing

2. What to keep in mind
• From next week if you don’t bring your lab manual, you’ll be
penalized.
• Online book -> Print before lab starts, so you can write on your paper
• Need to submit individual work. (even when you worked in a group)
• If you have a valid/documented reason for missing lab, please send a
mail to your lecturer (not lab instructor) before lab.
• Lowest lab grade will be dropped
• Keep your graded work – in case I make a mistake in the gradebook

3. Lab 2: Exploring
Data with Graphical
Displays and
Numerical
Summaries
“Got Data”
STAT 201
LAB

4. Introduction to the lab
Hard to understand Easy to understand

5. Goals of the lab
1. See how graphs can make data simpler to understand
2. Learn diff. between categorical and quantitative data
3. Learn to use statcrunch

6. Review
1. Categorical variables:
• Anything that is not a count or a measurement. Anything that is not a number or any
number that is not a count or a measurement.
2. Quantitative variables:
• Discrete Quantitative Variables(DQ): values that represent counts. 0,1,2,3,4,….
• Continuous Quantitative Variable(CQ): values that represent measurements.
Q: USC ID?

7. C (categorical)
DQ (discrete quantitative)
CQ (continuous quantitative)
DQ
C CQ

8. Open file with Survey Results in StatCrunch
• Go to StatCrunch.com: https://www.statcrunch.com
• Use the same username and password you have for Pearson MyStatLab
(Note: You must register for MyStatLab in order to use StatCrunch.)
• Data > Data sets > type “STAT 201 Spring 2022”

9.  Graph
 Pie chart (or bar chart … your choice)
 With data
 Select your variable in the “select column(s)” field
 Write appropriate title in the “title” field
 Compute.
Step 1: Select a categorical variable to make a graph with

10.  Stat
 Tables
 Frequency
 Select your variable in the “select column(s)” field
 Select the statistic(s) specified in column 3 of table 2.1
 Compute.

11.  Graph
 Histogram (or dot plot, stem&leaf, boxplot, … your choice)
 Select your variable in the “select column(s)” field
 Write an appropriate title in the “title” field
 Compute.
Step 1: Select a quantitative variable to make a graph with

12.  Stat
 Summary Stats
 Columns
 Select your variable in the “select column(s)” field
 Select the statistic(s) specified in column 3 of table 2.1
 Compute.

13.  Graph
 Bar graph (or pie chart… your choice)
 With data
 Select your first var in the “select column(s)” field
 Select your second var in the “group by” field
 Write an appropriate title in the “title” field
Step 1: Select two categorical variables to make a graph with

14.  Stat -> Tables
 Contingency
 With Data
 Select your 1st var in the “row variable” field
 Select your 2nd var in the “column variable” field
 Select row %, col %, and % of total in “Display” field
 Compute.

15.  Graph
 Box plot (or stem and leaf plot… your choice)
 Select your quant var in the “select column(s)” field
 Select your categorical var in the “group by” field
 Write an appropriate title in the “title” field
 Compute.
Step 1: Select one quant. variable and one cat. variable to make a graph with

16.  Stat -> Summary Stat
 Columns
 Select your quant var in the “select column(s)” field
 Select your cat var in the “group by” field
 Select the statistic(s) specified in column 3 of table 2.1
 Compute.

17. Copying graph to Word Document

18. Turning in your work
• Table 2.2 and all discussion questions completed
• Microsoft Word printout complete with graphs,
observations about graphs, and numerical summaries
• Make sure to write your name
• Staple everything together