Question

In general, \( \square \) \( \% \) of the values in a data set lie at or below the \( 82^{\text {th }} \) percentile. \( \square \) \( \% \) of the values in a data set lie at or above the \( 16^{\text {th }} \) percentile.. If a sample consists of 700 test scores, \( \square \) of them would be at or below the \( 10^{\text {th }} \) percentile. If a sample consists of 700 test scores, \( \square \) of them would be at or above the \( 44^{\text {th }} \) percentile.

          In general, \( \square \) \( \% \) of the values in a data set lie at or below the \( 82^{\text {th }} \) percentile.
\( \square \) \( \% \) of the values in a data set lie at or above the \( 16^{\text {th }} \) percentile..

If a sample consists of 700 test scores, \( \square \) of them would be at or below the \( 10^{\text {th }} \) percentile.

If a sample consists of 700 test scores, \( \square \) of them would be at or above the \( 44^{\text {th }} \) percentile.

In general, □ % of the values in a data set lie at or below the 82^th percentile.
□ % of the values in a data set lie at or above the 16^th percentile..

If a sample consists of 700 test scores, □ of them would be at or below the 10^th percentile.

If a sample consists of 700 test scores, □ of them would be at or above the 44^th percentile.

Added by Yolanda E.

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

Instant Answer

Solved by Expert Donna Densmore

Step 1

A percentile indicates the value below which a given percentage of observations in a group of observations fall. For example, the 20th percentile is the value below which 20% of the observations may be found. Show more…

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In general, \( \square \) \( \% \) of the values in a data set lie at or below the \( 82^{\text {th }} \) percentile. \( \square \) \( \% \) of the values in a data set lie at or above the \( 16^{\text {th }} \) percentile.. If a sample consists of 700 test scores, \( \square \) of them would be at or below the \( 10^{\text {th }} \) percentile. If a sample consists of 700 test scores, \( \square \) of them would be at or above the \( 44^{\text {th }} \) percentile.