Construct a normal probability plot or quantile-quantile (QQ) plot to assess normality. Use this assessment to determine

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Construct a normal probability plot or quantile-quantile (QQ)plot to assess normality. Use this assessment to determine whichtests are appropriate for these data for confidence interval andtest of hypothesis as you will use these procedures for parts 2 and3 below.
Construct a 99% confidence interval for µ, for mean bodytemperature for all adult males in the population.
At the 1% significance level, do the data provide sufficientevidence to conclude that the mean body temperature of men is98.6°F?
Using the software output, perform the confidence interval andthe full hypothesis test.
Men: 96.3 96.7 96.9 97 97.1 97.1 97.1 97.2 97.397.4 97.4 97.4 97.4 97.5 97.5 97.6 97.6 97.6 97.7 97.8 97.8 97.897.8 97.9 97.9 98 98 98 98 98 98 98.1 98.1 98.2 98.2 98.2 98.2 98.398.3 98.4 98.4 98.4 98.4 98.5 98.5 98.6 98.6 98.6 98.6 98.6 98.698.7 98.7 98.8 98.8 98.8 98.9 99 99 99 99.1 99.2 99.3 99.4 99.5
- Specified the shape of the distribution of the dataand referenced graph(s) used to makedecision.* Discussed the presence or absence of outliers.* Discussed which measure of center was most appropriate (thevalues of mean, median,and mode) within context.
Compare the results of the CI and hypothesistest-matched or not and why?