AP Statistics Unit 2 Test

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35 Terms

1
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What is a percentile?

The percentile of a value is the percentage of observations less than or equal to it in a distribution.

2
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How do you calculate a percentile rank?

Percentile = (Number of values ≤ your value / Total number of values) × 100.

3
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How do you interpret a percentile?

A value in the 80th percentile is higher than 80% of all other observations.

4
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What is a cumulative relative frequency graph?

A graph showing the cumulative percentage of observations at or below each value; used to find percentiles and estimate values.

5
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How do you find a percentile from a cumulative relative frequency graph?

Locate the desired percentile on the y-axis, move horizontally to the curve, then drop down to find the corresponding value on the x-axis.

6
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How do you find an individual value from a percentile using a cumulative graph?

Locate the percentile on the y-axis, trace horizontally to the curve, and read the corresponding value on the x-axis.

7
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What is a standardized score (z-score)?

A measure that tells how many standard deviations a data value is from the mean.

8
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What is the formula for a z-score?

z=x−meanstandard deviationz=standard deviationx−mean​

9
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What does a positive z-score mean?

The value is above the mean.

10
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What does a negative z-score mean?

The value is below the mean.

11
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What happens to a distribution when you add or subtract a constant to every value?

fThe center (mean, median) shifts by that constant, but the shape and spread (range, SD, IQR) stay the same.

12
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What happens when you multiply or divide every value by a constant?

Both the center and spread are multiplied or divided by that constant; the shape remains the same.

13
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What is a density curve?

A smooth curve that models the distribution of a variable; the area under the curve represents the proportion of observations.

14
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What is always true about a density curve’s total area?

The total area under a density curve is exactly 1.

15
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What do the mean and median represent on a density curve?

The mean is the balance point; the median is the point that divides the area in half.

16
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How do mean and median compare in a symmetric distribution?

Mean = Median.

17
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How do mean and median compare in a skewed-right distribution?

Mean > Median.

18
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How do mean and median compare in a skewed-left distribution?

Mean < Median.

19
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What is the empirical rule (68–95–99.7 rule)?

For Normal distributions

20
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How do you find the proportion of data within an interval using the empirical rule?

Use mean ± k(standard deviation) to find the range, then apply the corresponding percentage (68%, 95%, or 99.7%).

21
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What is the z-table (Table A) used for?

To find the area (proportion) under the standard Normal curve to the left of a given z-score.

22
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How do you find the proportion of values between two z-scores?

Find the area to the left of each z-score from the table, then subtract the smaller from the larger.

23
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How do you find a z-score from a given percentile using Table A?

Locate the percentile (area) in the table, then find the z-score corresponding to that cumulative area.

24
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How do you find a data value (x) from a percentile in a Normal distribution?

Use x=μ+(z×σ)x=μ+(z×σ), where z corresponds to the percentile.

25
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How do you determine if data is approximately Normal from a graph?

Look for a symmetric, unimodal shape in a histogram or bell curve.

26
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How can a Normal probability plot help assess normality?

If the points form an approximately straight line, the data is approximately Normal.

27
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What are numerical indicators that data may be Normal?

Mean ≈ median, and the empirical rule closely applies.

28
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When should you not use Normal distribution models?

When the data is strongly skewed or has clear outliers.

29
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What is the relationship between area under a density curve and probability?

The area under the curve in a given interval equals the probability that a randomly chosen value falls in that interval.

30
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What is the standard Normal distribution?

A Normal distribution with mean = 0 and standard deviation = 1.

31
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What is the symbol for the mean in a population?

μ (mu).

32
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What is the symbol for standard deviation in a population?

σ (sigma).

33
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What is the shape of a Normal distribution?

Symmetric, bell-shaped, single-peaked.

34
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How do you convert any Normal variable to a standard Normal variable?

Subtract the mean and divide by the standard deviation (to get z).

35
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How do you check if data follows the empirical rule?

Calculate the % of observations within 1, 2, and 3 SDs of the mean and compare to 68%, 95%, and 99.7%.