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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.

이 연습은 강의의 일부입니다

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강의 보기

연습 안내

  • Using VAR(), calculate the variance of the "Hours since last login" column.
  • In I2, use STDEV() 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 subtracting F2 from J2 and dividing by I2.

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