Profile login behavior
You suspect that people login about once a day. However, after they are in a relationship the hours since last login will likely grow dramatically. After all, people in a relationship have no incentive to continue to look for love! Let’s check.
This data measures how many hours have passed since the user last logged in. The mode, 2nd quartile, and mean have already been calculated. Notice that the mean is vastly different. So, you need to calculate the variance, standard deviation, and maximum to understand the spread of the data. You also want to analyze the z-score of the maximum value.
Remember, a z-score is the number of standard deviations from the mean and is calculated by subtracting the mean from the data point (in this case, the maximum), and dividing by the standard deviation.
This exercise is part of the course
Introduction to Statistics in Google Sheets
Exercise instructions
- Using
VAR()
, calculate the variance of the "Hours since last login" column. - In
I2
, useSTDEV()
to calculate the standard deviation of the login data. - In
J2
, calculate the maximum value in the "Hours since last login" column. - Calculate the z-score in
K2
by subtractingF2
fromJ2
and dividing byI2
.
Hands-on interactive exercise
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