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Common Core Standard HSS-ID.A.4 Questions

Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.

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Grade 11 Collecting and Interpreting Data CCSS: HSS-ID.A.4
Which of the following is true about calculating a z-score for data which is not normally distributed?
  1. There is no difference from normally distributed data.
  2. Although it can be computed, it may not have a typical (or any useful) meaning.
  3. It can be computed, but the formula is slightly different (one takes the square root of the usual z-score).
  4. It is impossible to compute the z-score for non-normally distributed data.
Grade 11 Collecting and Interpreting Data CCSS: HSS-ID.A.4
Which of the following is true concerning z-scores?
  1. Z-scores are always positive.
  2. Z-scores are negative only when the population mean is negative.
  3. Z-scores are positive if the mean is less than the raw score, and negative if the mean is greater than the raw score.
  4. Z-scores are positive if the standard deviation is greater than the raw score, and negative if the standard deviation is less than the raw score.
Grade 11 Collecting and Interpreting Data CCSS: HSS-ID.A.4
Which of the following gives the best reason for why z-scores are used?
  1. It is impossible to interpret data without using z-scores.
  2. Z-scores allow non-normally distributed data to become normally distributed.
  3. Z-scores eliminate outliers, allowing for more accurate results.
  4. They simplify the analysis of normally distributed data.
Grade 11 Collecting and Interpreting Data CCSS: HSS-ID.A.4
The shape that is made by a normal distribution of data is commonly referred to as
  1. a normal graph.
  2. a bell curve.
  3. a normal map.
  4. a deviation curve.
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