"> (solution)- QNT 351work sheet 2 Paper Detail – Transwriters

### (solution)- QNT 351work sheet 2

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The Question

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?

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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 13/4/2016 18 8 xxxxxxxxx xx 13 xxxxxxxxx 19 13 xxxxxxxxx 23 xx xxxxxxxxx xx x 18/4/2016 27 6 xxxxxxxxx 28 x xxxxxxxxx xx xx xxxxxxxxx xx xx xxxxxxxxx xx 16 xxxxxxxxx 24 xx xxxxxxxxx 26 xx 25/4/2016 26 13 xxxxxxxxx xx xx 27/4/2016 xx xx xxxxxxxxx 29 18 xxxxxxxxx 30 xx xxxxxxxxx xx 17 xxxxxx 27 xx xxxxxx xx xx xxxxxx 24 16 xxxxxx 21 11 xxxxxx xx xx xxxxxx 21 x 7/5/16 xx x 8/5/16 xx xx 9/5/16 26 xx xxxxxxx 28 xx xxxxxxx 29 16 xxxxxxx 29 18 xxxxxxxxx xx 16 xxxxxxxxx 25 16 xxxxxxxxx xx 11 16/5/2016 xx x xxxxxxxxx 23 11 xxxxxxxxx 27 xx 19/5/2016 26 xx 20/5/2016 xx xx xxxxxxxxx 27 xx 22/5/2016 xx xx 23/5/2016 xx 11 24/5/2016 29 xx xxxxxxxxx 31 14 xxxxxxxxx 31 18 xxxxxxxxx xx 18 xxxxxxxxx xx 17 29/5/2016 31 xx 30/5/2016 xx 18 31/5/2016 xx 18 1/6/16 xx 19 xxxxxx xx xx xxxxxx xx 19 xxxxxx 31 xx xxxxxx xx xx xxxxxx 28 xx xxxxxx xx 20 xxxxxx xx xx xxxxxx 31 xx 10/6/16 xx 17

# xxxx Temp xxxxxxxxx

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 xxxx High Temp xxxxxxx 21 xxxxxxxxx 18 14/4/2016 21 15/4/2016 19 xxxxxxxxx xx xxxxxxxxx 24 xxxxxxxxx xx xxxxxxxxx 28 20/4/2016 xx 21/4/2016 27 xxxxxxxxx xx 23/4/2016 xx xxxxxxxxx xx 25/4/2016 26 xxxxxxxxx 28 xxxxxxxxx 28 28/4/2016 xx 29/4/2016 30 xxxxxxxxx 30 xxxxxx 27 Sample Mean xxxxxxxxxxxxx 2/5/16 28 Sample Variance, S^2 15.2370056497 xxxxxx 24 xxxxxx S.D, x xxxxxxxxxxxx xxxxxx xx Btwn 1 xxx xx the xxxx Btwn x S.D xx xxx Mean 5/5/16 xx Greater xxxx xxxxx 49 Greater xxxx 19.18 xx xxxxxx 21 xxxxxxx than 30.88 xx Greater than 34.78 x 7/5/16 27 xxxx xxxxx xxx xxxxx xx Btwn xxxxx and 34.78 56 8/5/16 30 x 61.6666666667 % 93.3333333333 9/5/16 xx xxxxxxx 28 xxxxxxx 29 12/5/16 29 xxxxxxxxx xx 14/5/2016 25 15/5/2016 xx xxxxxxxxx 25 xxxxxxxxx xx xxxxxxxxx xx xxxxxxxxx 26 xxxxxxxxx xx xxxxxxxxx xx 22/5/2016 xx 23/5/2016 xx xxxxxxxxx xx 25/5/2016 31 xxxxxxxxx 31 xxxxxxxxx xx xxxxxxxxx 30 xxxxxxxxx 31 30/5/2016 xx xxxxxxxxx 33 xxxxxx 32 2/6/16 31 xxxxxx xx xxxxxx 31 xxxxxx xx xxxxxx xx xxxxxx 32 8/6/16 29 xxxxxx 31 10/6/16 34

# Low xxxx Histogram

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 xxxx xxx Temp 12/4/16 12 13/4/2016 8 14/4/2016 xx xxxxxxxxx xx xxxxxxxxx 12 xxxxxxxxx 6 xxxxxxxxx x 19/4/2016 x 20/4/2016 14 xxxxxxxxx 17 22/4/2016 16 23/4/2016 13 24/4/2016 xx 25/4/2016 13 xxxxxxxxx 14 27/4/2016 14 xxxxxxxxx 18 xxxxxx Mean xxxxxxxxxxxxx xxxxxxxxx 14 xxxxxx Variance, S^2 xxxxxxxxxxxxx xxxxxxxxx xx xxxxxx xxxx S 3.8236182468 xxxxxx 17 xxxxxx xx Btwn x S.D xx the xxxx Btwn x S.D of xxx Mean xxxxxx 16 xxxxxxx than 10.76 51 xxxxxxx xxxx 6.94 58 xxxxxx xx xxxxxxx than 18.40 7 xxxxxxx than xxxxx x xxxxxx 10 Btwn 10.76 xxx xxxx 44 Btwn 6.94 xxx 22.22 58 6/5/16 8 % 73.3333333333 x 96.6666666667 7/5/16 x xxxxxx xx xxxxxx xx 10/5/16 xx xxxxxxx 16 12/5/16 18 13/5/2016 16 14/5/2016 16 xxxxxxxxx 11 16/5/2016 x 17/5/2016 xx xxxxxxxxx xx 19/5/2016 xx xxxxxxxxx xx 21/5/2016 17 xxxxxxxxx 14 xxxxxxxxx 11 xxxxxxxxx 13 xxxxxxxxx 14 xxxxxxxxx 18 xxxxxxxxx 18 28/5/2016 xx 29/5/2016 17 xxxxxxxxx xx 31/5/2016 18 xxxxxx xx xxxxxx 19 xxxxxx 19 xxxxxx xx 5/6/16 xx xxxxxx xx 7/6/16 xx 8/6/16 17 xxxxxx 13 10/6/16 17

This paper was answered on 19-Jul-2017

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Jul 19, 2017

EXPERT

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