Understanding Normal Distribution and Z-Scores

Understanding Normal Distribution and Z-Scores

Assessment

Interactive Video

Mathematics

9th - 12th Grade

Hard

Created by

Aiden Montgomery

FREE Resource

The video tutorial explains how to determine the maximum average wait time for drive-thru restaurants that Amelia prefers, using the concept of normal distribution. It covers the calculation of the 10th percentile using a z-table and explains how to apply the z-score to find the desired wait time, rounding the result to the nearest whole second.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the mean wait time for drive-thru restaurants in the town?

185 seconds

205 seconds

195 seconds

175 seconds

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the standard deviation of the wait times in the town?

9 seconds

11 seconds

12 seconds

10 seconds

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a normal distribution imply about the data?

Data is skewed to the left

Data is evenly distributed around the mean

Data is skewed to the right

Data has multiple peaks

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the significance of the dotted lines in the normal distribution visualization?

They represent the mean

They represent standard deviations from the mean

They represent the mode

They represent the median

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of finding a z-score in this context?

To calculate the mean

To identify the maximum wait time for the bottom 10%

To determine the standard deviation

To find the average wait time

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a z-score of -1.29 indicate?

The wait time is exactly at the mean

The wait time is above the mean

The wait time is below the mean

The wait time is in the top 10%

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you calculate the actual wait time using the z-score?

Add the z-score to the mean

Subtract the z-score from the mean

Multiply the z-score by the standard deviation and subtract from the mean

Multiply the z-score by the standard deviation and add to the mean

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