1. Calculate the mean of the maximum temperature of Seattle in July between 2012 and 2014. Call it mu0 . 2. Calculate t-statistic using mu0 and the information from the CSV file. Call it t . (You need...

1. Calculate the mean of the maximum temperature of Seattle in July between 2012 and 2014. Call it
mu0.
2. Calculate t-statistic using mu0 and the information from the CSV file. Call it
t. (You need to calculate the sample mean, standard deviation, and the number of samples.)

3. Calculate the critical values t_α∕
2
at the 0.01 significance level. Call it
t.half.alpha. (You need to use a two-sided test. Why?)

4. What happens to the null hypothesis? Does it get rejected or not? Describe the result.

5. Calculate the p-value at the 0.01 significance level. Call it
pval.

6. Check your result and compare it with what you obtained in #4. Use the same problem numbering in your R file.