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AP Statistics Unit 1 Test

1) Use the data in the table to calculate the marginal distribution (in percents) of the row or column totals.

2) Make a graph to display the marginal distribution.

1) Select the row(s) or column(s) of interest.

2) Use the data in the table to calculate the conditional distribution (in percents) of the row(s) or column(s).

3) Make a graph to display the conditional distribution.

– Use a side-by-side bar graph or segmented bar graph to compare distributions.

1) Draw a horizontal axis (a number line) and label it with the variable name.

2) Scale the axis from the minimum to the maximum value.

3) Mark a dot above the location on the horizontal axis corresponding to each data value.

1) In any graph, look for the overall pattern and for striking departures from that pattern.

2) Describe the overall pattern of a distribution by its:

Shape

Center

Spread

3) Note individual values that fall outside the overall pattern. These departures are called outliers.

2) Write all possible stems from the smallest to the largest in a vertical column and draw a vertical line to the right of the column.

3) Write each leaf in the row to the right of its stem.

4) Arrange the leaves in increasing order out from the stem.

5) Provide a key that explains in context what the stems and leaves represent.

2) Find the count (frequency) or percent (relative frequency) of individuals in each class.

3) Label and scale your axes and draw the histogram. The height of the bar equals its frequency. Adjacent bars should touch, unless a class contains no individuals.

2) The first quartile Q1 is the median of the observations located to the left of the median in the ordered list.

3) The third quartile Q3 is the median of the observations located to the right of the median in the ordered list.

– A line in the box marks the median.

– Lines (called whiskers) extend from the box out to the smallest and largest observations that are not outliers.

– Outliers are marked with a special symbol such as an asterisk (*).

2) Find the “average” squared deviation. Calculate the sum of the squared deviations divided by (n-1)

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