Creating and interpreting a Normal Quantile-Quantile (Normal
Q-Q) plot.
The data you will be using is the distance in miles from home to
campus for statistics students.
150
30
105
88
94
15
55
122
45
67
18
126 30
143
98
15
30
62
111
87
38
20
34
39
46 14
144
23
94
44
97
65
120 123
99
45
57
209 20
133 72
- Column 1: Sort the data values from least to greatest. Use the
Sort and Filter feature on the Home tab. (You could title Column 1
“Data Values”)
- Column 2: Number the data values, i, from 1 to n. We are using
n to represent the total number of data values (the sample size).
(You could title Column 2 “i”)
- Column 3: Calculate the probability using the formula = i/(n+1)
(Remember i draws from Column 2)
- Column 4: Find the Standard Normal Z-scores for probabilities
from Column 3. Use Excel function NORM.S.INV. You can find this
function using the Formula tab . . . More Functions . . .
Statistical . . . NORM.S.INV (probability from column 3).
- Create a scatterplot where the x-axis values are the Z-scores
(Column 4) and the y-axis values are the Data values (Column 1).
Label the x- and y-axes.
- Based on the graph and the information from the video,
determine if the data is normal. Using a textbox, explain the
reasoning behind your answer.