Understanding Normal Distribution and Z-Scores

Understanding Normal Distribution and Z-Scores

Assessment

Interactive Video

Mathematics, Science

9th - 12th Grade

Hard

Created by

Aiden Montgomery

FREE Resource

The video tutorial explains the distribution of resting pulse rates among students at Santa Maria High School, which follows a normal distribution with a mean of 80 beats per minute and a standard deviation of 9 beats per minute. The school nurse plans to screen students whose pulse rates are in the top 30%. The tutorial guides viewers through using a Z-table to determine the minimum pulse rate for additional screening, resulting in a threshold of 85 beats per minute.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the mean resting pulse rate of students at Santa Maria High School?

70 beats per minute

80 beats per minute

90 beats per minute

100 beats per minute

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the standard deviation of the resting pulse rates at Santa Maria High School?

11 beats per minute

9 beats per minute

7 beats per minute

5 beats per minute

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a normal distribution, what percentage of data falls within one standard deviation of the mean?

95%

99%

68%

50%

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the pulse rate value one standard deviation above the mean?

89 beats per minute

98 beats per minute

80 beats per minute

71 beats per minute

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What percentage of students are targeted for additional screening based on their pulse rates?

40%

10%

20%

30%

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the z-score for the top 30% of the distribution?

0.63

0.73

0.43

0.53

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you calculate the actual pulse rate from a z-score?

Subtract the z-score from the mean

Multiply the z-score by the mean

Add the z-score to the mean

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

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