Goran is a budding climate scientist and is analyzing historical data on the noontime temperature on each of two dates (Date 1 and Date 2) for each of the last 104 years at a weather station in Texas....

Extracted text: Goran is a budding climate scientist and is analyzing historical data on the noontime temperature on each of two dates (Date 1 and Date 2) for each of the last 104 years at a weather station in Texas. The histograms below show the distributions of the two data sets. Each histogram shows temperature (in °C) on the horizontal axis and the number of years on the vertical axis. The means and standard deviations for the data sets are also given. Date 1 Date 2 25 + 25 20- 20 15- 15+ 10- 10- 5+ 5+ 4 12 16 20 24 28 32 36 40 44 4 12 16 20 24 28 32 36 40 44 Date 1 mean: 30.65 °C Date 2 mean: 24.56 °C Date 1 standard deviation: S.74 °C Date 2 standard deviation: 6.32 °C Goran wants to use the Empirical Rule to make some approximations about both data sets. Unfortunately, it is appropriate to use the Empirical Rule on only one of them! Anou Ethe SDrt- kelow, to boln Cornn uitk kin An


Extracted text: Date 1 mean: 30.65 °C Date 2 mean: 24.56 °C Date 1 standard deviation: 8.74 °C Date 2 standard deviation: 6.32 °C Goran wants to use the Empirical Rule to make some approximations about both data sets. Unfortunately, it is appropriate of them! Answer the parts below to help Goran with his approximations. (a) Identify the data set for which it is appropriate to use the Empirical Rule. It is appropriate to use the Empirical Rule for the (Choose one) ▼ data set. For the data set identified in part (a), use the Empirical Rule to make the following approximations. (b) The percentage of temperatures between 5.6 °C and 43.52 °C is approximately (Choose one) (c) Approximately 95% of the temperatures are between |°C and C.