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Eleventh Grade (Grade 11) Collecting and Interpreting Data Questions

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Grade 11 Collecting and Interpreting Data CCSS: HSS-ID.A.3
Which of the following values would change the MOST by the removal of a single outlier from a data set?
  1. Mean
  2. Median
  3. Mode
  4. They would all change by about the same amount.
Grade 11 Collecting and Interpreting Data CCSS: HSS-ID.A.4
What does a z-score of zero signify about the original value (or raw score)?
  1. The value is equal to the mean.
  2. The value insignificant.
  3. The value is highly improbable.
  4. The value does not lie on the standard normal curve.
Grade 11 Collecting and Interpreting Data CCSS: HSS-ID.A.4
Which of the following is/are true for the standard normal distribution? Choose all correct answers.
  1. 34% of the values are between 0 and 1.
  2. 95% of the values are between -2 and 2.
  3. About 50% of the values are less than 6.
  4. About 100% of the values are greater than -7.
Grade 11 Collecting and Interpreting Data CCSS: HSS-ID.A.3
Identify any outliers in the following set using the IQR rule. There may be more than one correct answer.

{1, 1, 1, 0, 2, 1, 1, 1, 1, 1, 1}
  1. 0
  2. 2
  3. There are no outliers.
  4. The IQR rule cannot be used for this set.
Grade 11 Collecting and Interpreting Data CCSS: HSS-ID.A.2
Which of the following are NOT equal for the two data sets?

A = {1,1,1,9,9,9}

B = {1,4,5,5,6,9}
  1. Mean
  2. Median
  3. Standard Deviation
  4. IQR
Grade 11 Collecting and Interpreting Data
Data is collected from the whole group rather than just a sample.
  1. Census
  2. Population parameter
  3. Sample statistic
Grade 11 Collecting and Interpreting Data CCSS: HSS-ID.A.3
Which of the following values would change the LEAST by the removal of a single outlier from a data set?
  1. Range
  2. Standard Deviation
  3. IQR
  4. They would all be affected about the same.
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.
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