Percentiles
Z-score
Transforming Locations
Empirical Rule
Standard Normal Distributions
100

A student scored at the 70th percentile on a test. What does this mean?

The student scored higher than 70% of the other students.

100

What does a z‑score of 0 mean?

The value is exactly at the mean.

100

Adding a constant to every value affects which: mean, SD, or both?

Mean changes, SD stays the same.

100

About what percent of data falls within 1 SD of the mean in a normal distribution?

68%

100

What are the mean and SD of the standard normal distribution?

Mean=0

SD=1

200

A baby’s weight is at the 40th percentile. What percent of babies weigh more?

60% weigh more.

200

A z‑score is positive. What does that tell you?

The value is above the mean.

200

Multiplying every value by 3 affects which: mean, SD, or both?

Both mean and SD are multiplied by 3.

200

About what percent falls within 2 SD?

95%

200

What area is to the left of z = 0 on the standard normal curve?

0.5

300

A runner’s time is at the 20th percentile in a race. What does this tell you about how the runner performed compared to others?

The runner preformed better than 20 percent of runners and worse than 80% of them

300

A test score is 85, the mean is 75, and the SD is 5. What is the z‑score?

z=(85−75)/5=2.

300

If you convert inches to centimeters (multiply by 2.54), what happens to z‑scores?

They stay the same.

300

About what percent falls within 3 SD?

99.7%

300

Which value is larger: the area to the left of z = 1 or the area to the left of z = –1?

Area to the left of z = 1 (about 0.8413).

400

What is the difference between the 75th percentile and Q3?

Q3 is the 75th percentile.

400

A z‑score of –1.5 means what in context?

The value is 1.5 standard deviations below the mean.

400

A distribution has mean 50 and SD 10. After subtracting 5 from every value, what are the new mean and SD?

Mean = 45, SD = 10.

400

In a normal distribution with mean 100 and SD 10, what range covers 95% of data?

80-120

400

Find the approximate area between z = –1 and z = 2.

Area left of 2= 0.9772

Area left of -1= 0.1587

Difference= 0.8185

500

A student is at the 90th percentile in height and the 60th percentile in weight. What does this tell you?

They are taller than 90% of students but heavier than only 60%, meaning they are tall but not unusually heavy for their height.

500

Two students have z‑scores of 1.2 (math) and 1.8 (reading). Who performed better relative to their group?

The student with 1.8, because they are further above their groups mean.
500

A distribution has mean 20 and SD 4. You transform values using y=3x+2. What are the new mean and SD?

3(20)+2=62

 SD = 3(4)=12.

500

A normal distribution has mean 60 and SD 8. What percent of data is between 52 and 76?

52 is 1 SD below, 76 is 2 SD above  68% + (95%−68%)/2 = 81.5%

500

A value has a z‑score of 1.75. Use the standard normal distribution to estimate the percentile.

Area left of 1.75= 0.9599, about 96th percentile