Interpreting Categorical and Quantitative Data
PrintInterpreting Categorical and Quantitative Data covers graphical displays of distributions including dot plots, histograms, and box plots, alongside measures of center and spread. Categorical data is analyzed in two-way frequency tables, and scatter plots support linear regression with correlation coefficients. Correlation versus causation is a key interpretive distinction throughout.
Example Problems
The delivery time (in days) for a regional courier is normally distributed with a mean of and a standard deviation of . Let = the delivery time for a randomly selected package.
Find .
Round your answer to two decimal places.
Find .
Round your answer to two decimal places.
What is the average value of on the interval ?
Identify any outliers from the following table:
| Data Value |
|---|
| 84 |
| 7 |
| 9 |
| 8 |
What is the critical value for constructing a 90% confidence interval?
A bookstore surveyed customers on preferred book format.
How many students prefer eBooks?
| Format | Hardcover | Paperback | eBook |
|---|---|---|---|
| Students | 20 | 35 | 45 |
| Adults | 50 | 40 | 10 |
How many students prefer eBooks?

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