8. Suppose a small retail business owner is interested in assessing the normality of the daily sales revenue. He randomly selects a sample of sales revenue data for 19 days of business operation. The 890 sample sales revenue data in dollars is: 1160 970 1080 1030 200 280 480 210 280 490 220 280 Soc 1) Compute the mean. $2000 t logo -1160 +890 5130 240 290 530 $130 19 240 290 530 = [270 250 300 550 260 310 570 n = 19 median = n/2 th term = 19/2 = £oth term = 270 3) Compute the mode. 280. 260 330 590 270 350 270 270 2) Compute the median. mediam mode 200, 210, 220, 240, 240, 250, 250, 260, 270, 270, 280, 280, 280, 290, 290, 300, 310, 330,350
8. Suppose a small retail business owner is interested in assessing the normality of the daily sales revenue. He randomly selects a sample of sales revenue data for 19 days of business operation. The 890 sample sales revenue data in dollars is: 1160 970 1080 1030 200 280 480 210 280 490 220 280 Soc 1) Compute the mean. $2000 t logo -1160 +890 5130 240 290 530 $130 19 240 290 530 = [270 250 300 550 260 310 570 n = 19 median = n/2 th term = 19/2 = £oth term = 270 3) Compute the mode. 280. 260 330 590 270 350 270 270 2) Compute the median. mediam mode 200, 210, 220, 240, 240, 250, 250, 260, 270, 270, 280, 280, 280, 290, 290, 300, 310, 330,350
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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Question
8. 5-7 please solve the following problems with the provided information
![8. Suppose a small retail business owner is interested in assessing the normality of the daily sales
revenue. He randomly selects a sample of sales revenue data for 19 days of business operation. The
sample sales revenue data in dollars is:
890
1160
1080
970
1030
200
280
480
210
280
490
220
280
Soc
1) Compute the mean.
$2000 t
logo
240
290
530
$130
19
4) Compute the standard deviation.
(200-270)²
240
290
530
= √(270
n = 19
median = n/2 th term = 19/2 = £oth term = 270
3) Compute the mode.
280.
0²
1421.0526315789
37,696837.70
5) Compute the interquartile range.
250
300
550
19
260
310
570
1160
+890
5130
2) Compute the median.
mediam
mode
200, 210, 220, 240, 240, 250, 250, 260, 270, 270, 280, 280, 280, 290, 290, 300, 310, 330,350
+...+(350-270)²
260
330
590
270
350
270
= 19
270
270001421, 0526315789](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0a03efe2-d931-4461-b3ce-5e694888ce83%2F6c8ef665-698b-4599-ba9a-7f6c06934427%2F39j2fus_processed.jpeg&w=3840&q=75)
Transcribed Image Text:8. Suppose a small retail business owner is interested in assessing the normality of the daily sales
revenue. He randomly selects a sample of sales revenue data for 19 days of business operation. The
sample sales revenue data in dollars is:
890
1160
1080
970
1030
200
280
480
210
280
490
220
280
Soc
1) Compute the mean.
$2000 t
logo
240
290
530
$130
19
4) Compute the standard deviation.
(200-270)²
240
290
530
= √(270
n = 19
median = n/2 th term = 19/2 = £oth term = 270
3) Compute the mode.
280.
0²
1421.0526315789
37,696837.70
5) Compute the interquartile range.
250
300
550
19
260
310
570
1160
+890
5130
2) Compute the median.
mediam
mode
200, 210, 220, 240, 240, 250, 250, 260, 270, 270, 280, 280, 280, 290, 290, 300, 310, 330,350
+...+(350-270)²
260
330
590
270
350
270
= 19
270
270001421, 0526315789
![6) Construct the histogram. Use 200-229 as your first bin.
Var(x + y)
7) Determine if the distribution of daily sales revenue is approximately normal. Consider all criteria.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0a03efe2-d931-4461-b3ce-5e694888ce83%2F6c8ef665-698b-4599-ba9a-7f6c06934427%2Fusj3ag9_processed.jpeg&w=3840&q=75)
Transcribed Image Text:6) Construct the histogram. Use 200-229 as your first bin.
Var(x + y)
7) Determine if the distribution of daily sales revenue is approximately normal. Consider all criteria.
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