$($c$)$ Is it likely that NASA repeatedly made the same data entry errors in recording temperatures in Los Angeles? Select the correct response that would be the most likely explanation for using the data value $999\mathrm{.}9$ in the data file you downloaded.

No; The most likely explanation is $999\mathrm{.}9$ was used as a special code for years that did not have an annual mean temperature recorded.

Yes; The most likely explanation is $999\mathrm{.}9$ was supposed to be entered as $99\mathrm{.}9.$

No; The most likely explanation is $999\mathrm{.}9$ was supposed to be entered as $99\mathrm{.}9.$

Yes; The most likely explanation is $999\mathrm{.}9$ was used as a special code for years that did not have an annual mean temperature recorded.

$($d$)$ Now clean up the data so that only true temperature values will be plotted. You can do this by editing either the original text file or the data in your rtatistical software. Take the time to consider how your specific software handles missing data $($if an empty cell does not work, see your software's help function$).$

Obtain the mean and the median for the cleaned$-$up metANN variable. $($Enter your answer rounded to three decimal places.$)$

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