Lesson 2.5--Normal Distributions--Review

This distribution is ​ (a)   so we should use the ​ (b)   as a measure of center.

• right skewed
• median
• fairly symmetric
• left skewed
• mean
• standard deviation
• range
• mode

Tags

CCSS.6.SP.B.5D

CCSS.HSS.ID.A.2

This distribution is ​ (a)   so we should use the ​ (b)   as a measure of center and the ​ (c)   as a measure of variability.

• fairly symmetric
• mean
• standard deviation
• left skewed
• range
• mode
• median
• IQR
• right skewed

Tags

CCSS.6.SP.B.5D

CCSS.HSS.ID.A.2

How is the graph distributed?

• It is clearly Normal Distribution!

• Slightly skewed to the left.

• Slightly skewed to the right.

• It is clearly Uniform Distribution!

Tags

CCSS.HSS.ID.A.4

CCSS.HSS.ID.A.1

CCSS.HSS.ID.A.3

How is the graph distributed?

• Approximately Normal

• Skewed to the Left

• Skewed to the Right

• Uniform

Tags

CCSS.HSS.ID.A.4

CCSS.HSS.ID.A.1

CCSS.HSS.ID.A.3

According to the empirical rule, what percentage of data falls within 1 standard deviation? 

• 25%

• 68%

• 95%

• 99.7%

Tags

CCSS.HSS.ID.A.4

According to the empirical rule, how much of the data falls within 3 standard deviations? 

• 25%

• 68%

• 95%

• 99.7%

Tags

CCSS.HSS.ID.A.4

The distribution of household incomes in a small town is strongly skewed to the right.  The mean income is $42,000 and the standard deviation is $24,000.  The Ames family’s household income is $60,000. 
The z-score for the Ames family’s
income is...

• -0.75
• 0.3
• 0.75
• 0.86

Tags

CCSS.HSS.ID.A.4

If 30 is added to every number on a list, which one of following
does not change?

• the mean
• the median
• the mode
• the standard deviation

The area under a normal distribution between z = –2 and z = 1 is

• ≈ 68%

• ≈ 82%

• ≈ 95%

• ≈ 97%

Tags

CCSS.HSS.ID.A.4

Approximately how much area is beyond two standard deviations from the mean under a normal distribution?

• ≈ 16%

• ≈ 8%

• ≈ 32%

• ≈ 5%

Tags

CCSS.HSS.ID.A.4