Temperature. A simple way to predict average temperature for a city is through h

Question

Temperature. A simple way to predict average temperature for a city is through historical records. For example, the average temperature for that day is recorded over a period of 10 years. To increase the sample, researchers use one day prior and one day after the given day resulting in 30 measurements that correspond to each day and round them to the nearest integer. Consider the following set of numbers: (a) Describe the procedure using a random variable. The random variable is the current temperature. That is calculated threw finding the average of that day's past temperatures plus the I day before those days and one day after those days. (b) Compute the average of this dataset. (sum of all values in the table)/30 = 75.16 (c) Compute the expected value of this random variable. What do you observe? (sum of all values in the table)/30 = 75.16 It's the same as the average temperature because that is how you are estimating the expected temperature. (d) Create an excel file that contains this numbers (and try uploading it to SAS). Compute a histogram with 5 bins. Compute the mean, standard deviation, median, upper and lower quartile. Create a box plot.

Explanation / Answer

(d)

Mean = 75.167, Standard Deviation = 3455, Median = 76, Upper Quartile(Q3)=78, Lower Quartile (Q1)=71.750

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