5th REVIEW: Z-score-Definition, Calculation and Interpretation

It is an original datum that has not been transformed.

• Data

• Data raw

• Raw score

• Standard Score

Tags

CCSS.HSS.ID.A.4

It is a region under the normal curve. Refer to the values on table of Z-Score.

• Probability of Normal Curve

• Area of Normal Curve

• Empirical Rule

• Z-Scores

Tags

CCSS.HSS.ID.A.4

Find the area to the left of z = 1.53.

• .7093

• .3970

• .9370

• .7039

Tags

CCSS.HSS.ID.A.4

Find the raw score X for given the sample mean x = 125, and sample standard deviation s = 10, and z = 2.

• 165

• 155

• 145

• 135

Tags

CCSS.HSS.ID.A.4

Find the area between z-scores of -0.75 and 1.21.

• 0.6603

• 0.3066.

• 0.3606.

• 0.6306

Tags

CCSS.HSS.ID.A.4

Compute for a raw score X given the sample mean is 110, and the standard deviation is 12, and z = -2.

• 86

• 76

• 66

• 56

Tags

CCSS.HSS.ID.A.4

Given: High School Female Shoes Sizes

μ = 6.5”

σ = 2”

What is the data value associated with a z-score of -2.3?

• 2

• 1.9

• 1.7

• 1.5

Tags

CCSS.HSS.ID.A.4

A normally distributed population of test scores has a mean of 80 and a standard deviation of 2.5. Find the percentage of scores that lies below 75.

• 1.39%

• 1.79%

• 2.28%

• 2.87%

Tags

CCSS.HSS.ID.A.4

Find the z-score value that corresponds to a normal random variable X = 100 in the given mean µ = 85 and standard deviation σ = 8 of a population in Statistics test.

• 1.85

• 1.86

• 1.87

• 1.88

Tags

CCSS.HSS.ID.A.4

The normal random variable X = 100 in the given mean µ = 85 and standard deviation σ = 8 of a population in Statistics test. What is the probability of scores that lies above 100?

• 5.01%

• 4.01%

• 3.01%

• 2.01%

Tags

CCSS.HSS.ID.A.4