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e2020.geniussis.com/FEDashbc
Int Math Top 2 B - Imagine Edg
n.edgenuity.com/player/
deling Statistics Given a Data Plot
ot shows the temperatures (in
^(@)F ) for a group of who visited a doctor's office.
What conclusions can be drawn from the data set Check all that apply.
The measures of center are the same.
The interquartile range is 4 .
There is little variability in the data.
The average temperature is 98.
The data is clustered around the mean.

e $2020$ .geniussis.com/FEDashbc $\newline$ Int Math Top $2$ B - Imagine Edg $\newline$ n.edgenuity.com/player/ $\newline$ deling Statistics Given a Data Plot $\newline$ ot shows the temperatures (in ${ }^{\circ} \mathrm{F}$ ) for a group of who visited a doctor's office. $\newline$ What conclusions can be drawn from the data set Check all that apply. $\newline$ The measures of center are the same. $\newline$ The interquartile range is $4$ . $\newline$ There is little variability in the data. $\newline$ The average temperature is $98$ . $\newline$ The data is clustered around the mean.

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Interpret measures of center and variability

Full solution

Q. e

2020

.geniussis.com/FEDashbc

\newline

Int Math Top

2

B - Imagine Edg

\newline

n.edgenuity.com/player/

\newline

deling Statistics Given a Data Plot

\newline

ot shows the temperatures (in

{ }^{\circ} \mathrm{F}

) for a group of who visited a doctor's office.

\newline

What conclusions can be drawn from the data set Check all that apply.

\newline

The measures of center are the same.

\newline

The interquartile range is

4

.

\newline

There is little variability in the data.

\newline

The average temperature is

98

.

\newline

The data is clustered around the mean.

Analyze Measures of Center: Analyze the measures of center. $\newline$ If the measures of center (mean, median, mode) are the same, the data is symmetric. Without specific values, we can't confirm this statement.
Check Interquartile Range: Check the interquartile range. $\newline$ The statement claims the interquartile range is $4$ . This suggests some consistency in the middle $50\%$ of the data, but without actual data values, we can't verify this.
Evaluate Data Variability: Evaluate the variability in the data. The statement mentions little variability. This would imply a small standard deviation or range, but again, without the data values, this can't be confirmed.
Determine Average Temperature: Determine the average temperature. $\newline$ It states the average temperature is $98\degree F$ . We need specific temperature data to calculate the mean and verify this claim.
Assess Clustering: Assess clustering around the mean. If the data is clustered around the mean, most values should be close to the average. This can't be confirmed without seeing the actual data distribution.

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