It is important to understand the concepts and skills related to statistics in order to accurately interpret data and make informed decisions. By using statistics, you can gain valuable information about a population from a sample, determine whether generalizations made about a population are valid, identify whether a sample is representative or biased, and draw inferences about a population using data from a random sample.
You should also be able to calculate measures of center (mean, median, mode) and measures of variability (range) for quantitative data sets, as well as use these measures to draw comparative inferences about two populations. Additionally, you should be able to assess the degree of visual overlap of two numerical data distributions and measure the difference between the centers of two populations.
By reviewing and practicing these concepts, you will be well-prepared to successfully complete the unit test on statistics.
Statistics: Review
Today you will review the topics that you’ve learned in this unit. Read through the list of topics from this unit. Make sure you feel confident about each of them before taking the unit test. If there are any topics that you forget or think you need to practice, go back and review those lessons now.
Describe how statistics helps you gain information about a population from a sample.
Determine whether generalizations made about a population using a sample are valid.
Identify whether a sample is representative or biased.
Use data from a random sample to draw inferences about a population with an unknown characteristic of interest.
Determine the measures of center (mean, median, mode) of a quantitative data set or data in a display.
Determine the measures of variability (range) of a quantitative data set or data in a display.
Use measures of center and variability to draw informal comparative inferences about two populations.
Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities.
For two numerical data distributions with similar variabilities, measure the difference between the centers by expressing it as a multiple of a measure of variability.
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