budding climate scientist and is analyzing historical data on the noontime temperature on each of two dates Date 2) for each of the last 60 years at a weather station in Texas. The histograms below show the distributions ata sets. Each histogram shows temperature (in °C) on the horizontal axis and the number of years on the The means and standard deviations for the data sets are also given. Date 1 + 8 12 16 20 24 28 32 36 40 Date 1 mean: 24.37 °C Date 1 standard deviation: 4.27 °C 25- 20+ 15 10- 5. 8 12 16 itify 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. Date 2 data set identified in part (a), use the Empirical Rule to make the following nations. 20 24 28 Date 2 mean: 19.23 °C Date 2 standard deviation: 6.85 °C ts to use the Empirical Rule to make some approximations about both data sets. Unfortunately, it is appropriate mpirical Rule on only one of them! parts below to help Tammy with her approximations. percentage of temperatures between 11.56 °C and 37.18 °C is approximately oose one) ▼ roximately 95% of the temperatures are between °C and °C. 32 36 X Ś
budding climate scientist and is analyzing historical data on the noontime temperature on each of two dates Date 2) for each of the last 60 years at a weather station in Texas. The histograms below show the distributions ata sets. Each histogram shows temperature (in °C) on the horizontal axis and the number of years on the The means and standard deviations for the data sets are also given. Date 1 + 8 12 16 20 24 28 32 36 40 Date 1 mean: 24.37 °C Date 1 standard deviation: 4.27 °C 25- 20+ 15 10- 5. 8 12 16 itify 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. Date 2 data set identified in part (a), use the Empirical Rule to make the following nations. 20 24 28 Date 2 mean: 19.23 °C Date 2 standard deviation: 6.85 °C ts to use the Empirical Rule to make some approximations about both data sets. Unfortunately, it is appropriate mpirical Rule on only one of them! parts below to help Tammy with her approximations. percentage of temperatures between 11.56 °C and 37.18 °C is approximately oose one) ▼ roximately 95% of the temperatures are between °C and °C. 32 36 X Ś
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:budding climate scientist and is analyzing historical data on the noontime temperature on each of two dates
Date 2) for each of the last 60 years at a weather station in Texas. The histograms below show the distributions
ata sets. Each histogram shows temperature (in °C) on the horizontal axis and the number of years on the
. The means and standard deviations for the data sets are also given.
Date 1
8 12 16
20
24
28
Explanation
32
Date 1 mean: 24.37 °C
Date 1 standard deviation: 4.27 °C
Check
36
S
40
25.
20
154
10+
5.
0
8
itify 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.
12 16 20 24
data set identified in part (a), use the Empirical Rule to make the following
nations.
Date 2
percentage of temperatures between 11.56 °C and 37.18 °C is approximately
oose one) ▼
roximately 95% of the temperatures are between °C and °C.
ts to use the Empirical Rule to make some approximations about both data sets. Unfortunately, it is appropriate
mpirical Rule on only one of them!
parts below to help Tammy with her approximations.
Date 2 mean: 19.23 °C
Date 2 standard deviation: 6.85 °C
28
32
X
36
5
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40
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