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Praxis Core Math
Course: Praxis Core Math > Unit 1
Lesson 3: Statistics and probability- Data representations | Lesson
- Data representations | Worked example
- Center and spread | Lesson
- Center and spread | Worked example
- Random sampling | Lesson
- Random sampling | Worked example
- Scatterplots | Lesson
- Scatterplots | Worked example
- Interpreting linear models | Lesson
- Interpreting linear models | Worked example
- Correlation and Causation | Lesson
- Correlation and causation | Worked example
- Probability | Lesson
- Probability | Worked example
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Center and spread | Lesson
What are the center and spread of a data set?
A set of quantitative data with varying values may be shown as a list or a data display.
Suppose Pedro asks friends how many pairs of shoes they own. Pedro can report his findings as a list or a data display such as a dotplot where each dot represents one response.
- List:
- Dotplot:
Center and spread are ways to describe data sets like this.
- Center describes a typical value of a data point. Two measures of center are mean and median.
- Spread describes the variation of the data. Two measures of spread are range and standard deviation.
What skills are tested?
- Calculating the mean, median, and range from a list of values or a data display
- Comparing the mean, median, range, and standard deviation of data sets. You won't be tested on the formula for standard deviation.
How is the mean calculated?
The mean is useful for describing the center of data with similar values.
The mean is the average value.
How is the median calculated?
The median is useful to describe the center of data with .
The median is the middle value when the data are ordered from least to greatest.
- If the number of values is odd, the median is the middle value.
- If the number of values is even, the median is the average of the two middle values.
How is the range calculated?
Range measures the total spread of the data.
The range is the difference between the highest and lowest values.
A larger range indicates a greater spread in the data.
How is standard deviation used ?
Standard deviation measures the typical spread from the mean.
Standard deviation is the average distance between the mean and a data point.
Larger values of standard deviation indicate greater spread in the data.
Your turn!
Things to remember
Center describes a typical value.
- Mean: Average value
- Median: Middle value when data ordered from least to greatest
Spread describes the variation of the data.
- Range: Total spread
- Standard deviation: Average distance between the mean and a data point
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- You need to know the Mean or Average of the data points. Standard deviation is difference between a data point and the mean.(2 votes)
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