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(solution)- QNT 351work sheet 2


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Material PROBABILITY Maximum and Minimum Temperatures Search the Internet for U.S. climate data. Choose the city in which you live. Click on the tab that reads "Daily" ?

 

 

?1. Prepare a spreadsheet with three columns: Date, High Temperature, and Low Temperature. List the past 60 days for which data is available. 2. Prepare a histogram for the data on high temperatures and comment on the shape of the distribution as observed from these graphs.?

 

 

3. Calculate ? and S. ??

 

 

4. What percentage of the high temperatures are within the interval ? – S to ? + S??

 

 

5. What percentage of the high temperatures are within the interval ? – 2S to ? + 2S??

 

 

6. How do these percentages compare to the corresponding percentages for a normal distribution (68.26% and 95.44%, respectively)??

 

 

7. Repeat Parts 2 to 6 for the minimum temperatures on your spreadsheet. ??

 

 

8. Would you conclude that the two distributions are normally distributed? Why or why not?

 


Solution details

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(solution)- QNT 351work sheet 2.zip

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xxxxxxx xxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxx * MERGEFORMAT xxxxxxxxx

 

 

 

 

 

 

Probability

 

Student Name

 

 

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High xxxxxxxxxxxxx

 

Prepare a xxxxxxxxxxx xxxx xxxxx columns: Date, xxxx xxxxxxxxxxxx xxx xxx Temperature. xxxx xxx past xx days xxx which data is xxxxxxxxxxx

 

Spreadsheet attached in xxx xxxxx xxxxxxxxx

 

Prepare x histogram for the data on xxxx temperatures xxx comment on the shape xx xxx distribution xx xxxxxxxx from these graphs.

 

 

 

Comment: xxx xxxxx xx xxx xxxx does xxx xxxxxxxx a bell-shaped xxxxxx

 

Calculate and S.

 

 

 

 

 

xxxx percentage xx the high xxxxxxxxxxxx is xxxxxx the interval xxxx

 

 

 

 

 

What percentage xx the high temperatures xxx xxxxxx xxx xxxxxxxx xx xx

 

 

 

 

 

 

How do xxxxx percentages compare to xxx corresponding xxxxxxxxxxx xxx a xxxxxx distribution xxxxxxx and xxxxxxx respectively)?

 

 

xxx percentages are xxx far xxxx xxxx those of x xxxxxxxx normal xxxxxxxxxxxxxx

 

 

Low Temperatures

 

 

 

xxxxxxx a xxxxxxxxx for the data xx low

 

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Atlanta xxxx Data

 

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xxxx xxxx Temp Low xxxx
12/4/16 xx xx
13/4/2016188
xxxxxxxxxxx 13
xxxxxxxxx1913
xxxxxxxxx23xx
xxxxxxxxx xxx
18/4/2016276
xxxxxxxxx 28x
xxxxxxxxx xxxx
xxxxxxxxxxxxx
xxxxxxxxx xx 16
xxxxxxxxx 24 xx
xxxxxxxxx26xx
25/4/2016 2613
xxxxxxxxx xx xx
27/4/2016 xx xx
xxxxxxxxx2918
xxxxxxxxx30xx
xxxxxxxxxxx17
xxxxxx 27xx
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xxxxxx 2416
xxxxxx2111
xxxxxxxx xx
xxxxxx 21x
7/5/16xxx
8/5/16 xxxx
9/5/1626xx
xxxxxxx 28 xx
xxxxxxx 2916
xxxxxxx 29 18
xxxxxxxxxxx16
xxxxxxxxx25 16
xxxxxxxxxxx 11
16/5/2016xxx
xxxxxxxxx23 11
xxxxxxxxx 27xx
19/5/2016 26 xx
20/5/2016 xx xx
xxxxxxxxx 27 xx
22/5/2016xxxx
23/5/2016 xx11
24/5/2016 29xx
xxxxxxxxx 3114
xxxxxxxxx3118
xxxxxxxxxxx 18
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29/5/201631 xx
30/5/2016xx 18
31/5/2016xx 18
1/6/16 xx19
xxxxxx xxxx
xxxxxx xx19
xxxxxx 31xx
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xxxxxx28xx
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xxxxxx xxxx
xxxxxx 31xx
10/6/16xx 17

 

 

xxxx Temp xxxxxxxxx

 

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xxxxHigh Temp
xxxxxxx 21
xxxxxxxxx 18
14/4/201621
15/4/201619
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xxxxxxxxx 24
xxxxxxxxxxx
xxxxxxxxx28
20/4/2016xx
21/4/201627
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23/4/2016 xx
xxxxxxxxx xx
25/4/2016 26
xxxxxxxxx28
xxxxxxxxx 28
28/4/2016 xx
29/4/2016 30
xxxxxxxxx 30
xxxxxx27Sample Meanxxxxxxxxxxxxx
2/5/16 28 Sample Variance, S^215.2370056497
xxxxxx24 xxxxxx S.D, xxxxxxxxxxxxx
xxxxxxxxBtwn 1 xxx xx the xxxx Btwn x S.D xx xxx Mean
5/5/16xx Greater xxxx xxxxx 49 Greater xxxx 19.18 xx
xxxxxx 21xxxxxxx than 30.88xxGreater than 34.78 x
7/5/1627 xxxx xxxxx xxx xxxxxxx Btwn xxxxx and 34.7856
8/5/1630 x61.6666666667%93.3333333333
9/5/16 xx
xxxxxxx 28
xxxxxxx 29
12/5/16 29
xxxxxxxxx xx
14/5/2016 25
15/5/2016 xx
xxxxxxxxx25
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22/5/2016xx
23/5/2016 xx
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25/5/201631
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30/5/2016xx
xxxxxxxxx 33
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2/6/1631
xxxxxx xx
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8/6/16 29
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10/6/16 34

 

 

Low xxxx Histogram

 

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xxxxxxx Temp
12/4/16 12
13/4/20168
14/4/2016 xx
xxxxxxxxx xx
xxxxxxxxx 12
xxxxxxxxx6
xxxxxxxxx x
19/4/2016 x
20/4/201614
xxxxxxxxx17
22/4/2016 16
23/4/2016 13
24/4/2016xx
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xxxxxxxxx 14
27/4/201614
xxxxxxxxx18 xxxxxx Mean xxxxxxxxxxxxx
xxxxxxxxx14 xxxxxx Variance, S^2 xxxxxxxxxxxxx
xxxxxxxxx xx xxxxxx xxxx S 3.8236182468
xxxxxx17
xxxxxxxx Btwn x S.D xx the xxxxBtwn x S.D of xxx Mean
xxxxxx16xxxxxxx than 10.76 51xxxxxxx xxxx 6.9458
xxxxxxxx xxxxxxx than 18.40 7xxxxxxx than xxxxxx
xxxxxx10Btwn 10.76 xxx xxxx 44 Btwn 6.94 xxx 22.2258
6/5/168 % 73.3333333333x96.6666666667
7/5/16 x
xxxxxx xx
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10/5/16xx
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12/5/16 18
13/5/2016 16
14/5/201616
xxxxxxxxx 11
16/5/2016 x
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19/5/2016xx
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21/5/2016 17
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28/5/2016 xx
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31/5/201618
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5/6/16xx
xxxxxx xx
7/6/16 xx
8/6/1617
xxxxxx 13
10/6/16 17

 

 

 

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