Question 1201976:  4.	The following data represent the weekly income distribution of guardians who take care of orphan and vulnerable children in Ethiopia.  
200	150	105	150	300	75	60	75	170	75 
150	100	150	500	100	100	120	80	130	150 
400	100	450	150	100	75	75	75	100	150 
150	150	75	100	100	75	75	50	200	400 
100	100	320	100	100	75	100	100	400	250 
100	100	150	75	75	100	200	200	150	160 
200	120	250	80	75	75	200	150	200	165 
150	160	45	45	300	100	70	170	170	220
 
a.	Organize the data into 10 class intervals.  
b.	Draw a histogram, frequency polygon , greater than  and  less than cumulative frequency curve 
c.	Describe the nature of the data 
d.	Determine mean and median and discuss the results 
e.	Determine variance and standard deviation 
 
 Answer by math_tutor2020(3817)      (Show Source): 
You can  put this solution on YOUR website!  
Part (a)
 
 
Spreadsheet software is strongly recommended for this problem. 
I'm using LibreOffice Calc spreadsheet.
 
 
The sorted data looks like this 
45,45,50,60,70 
75,75,75,75,75 
75,75,75,75,75 
75,75,75,75,80 
80,100,100,100,100 
100,100,100,100,100 
100,100,100,100,100 
100,100,100,100,105 
120,120,130,150,150 
150,150,150,150,150 
150,150,150,150,150 
150,160,160,165,170 
170,170,200,200,200 
200,200,200,200,220 
250,250,300,300,320 
400,400,400,450,500
 
The block of numbers has 16 rows and 5 columns 
16*5 = 80 values total
 
 
min = 45 
max = 500 
range = max - min = 500-45 = 455
 
 
Divide this into 10 groups 
455/10 = 45.5
 
 
Each group is about 46 units wide.
 
 
The class intervals are: 
| Number | Class Interval |  | 1 | 45 - 91 |  | 2 | 92 - 138 |  | 3 | 139 - 185 |  | 4 | 186 - 232 |  | 5 | 233 - 279 |  | 6 | 280 - 326 |  | 7 | 327 - 373 |  | 8 | 374 - 420 |  | 9 | 421 - 467 |  | 10 | 468 - 514 |  
 
 
 
There are 21 values between 45 and 91 
Those values are:  
45,45,50,60,70 
75,75,75,75,75 
75,75,75,75,75 
75,75,75,75,80 
80
 
 
Repeat the same idea for the other class intervals to get this grouped frequency distribution. 
| Class Interval | Frequency |  | 45 - 91 | 21 |  | 92 - 138 | 22 |  | 139 - 185 | 19 |  | 186 - 232 | 8 |  | 233 - 279 | 2 |  | 280 - 326 | 3 |  | 327 - 373 | 0 |  | 374 - 420 | 3 |  | 421 - 467 | 1 |  | 468 - 514 | 1 |  
 
 
 
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Part (b)
 
 
Use spreadsheet software to create the histogram.  
This is what it looks like 
  
Each bar's height is due to the frequency for that specific class interval. 
Example: There are 21 people in the first class interval, which means the left-most bar is 21 units tall.
 
 
 
I'll let you do the frequency polygon.
 
 
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Part (c)
 
 
Each number mentioned is a positive whole number.  
This data is discrete.
 
 
Midpoints between some values make sense (eg: between 100 and 200), but the midpoint between something like 105.11 and 105.12 does not make sense because any currency has a smallest atomic element.
 
 
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Part (d)
 
 
To find the mean, add up the values and divide by n = 80 because that's how many values there are in the set.
 
 
Use the spreadsheet software to quickly add the values up (use the command called "SUM") 
The values add 11890
 
 
Then 11890/n = 11890/80 = 148.625 is the arithmetic mean.
 
 
The median is found between slot 40 and 41 (because n/2 = 80/2 = 40) 
The values in these slots are 105 and 120. The midpoint of them is (105+120)/2 = 112.5
 
 
mean = 148.625 
median = 112.5
 
 
The mean and median represent the center of the data distribution.  
Since mean > median in this case, the data is skewed to the right (i.e. positively skewed)
 
 
Right-skewed data occurs when you have large outlier(s).
 
 
Notice that the histogram (in part b) has a tail stretched to the right.
 
 
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Part (e)
 
 
Use the spreadsheet software to compute the variance.  
Doing so by hand would be tedious busy-work.
 
 
sample variance = 8887.32594936709 approximately
 
 
sample standard deviation = sqrt(sample variance) 
sample standard deviation = sqrt(8887.32594936709) 
sample standard deviation = 94.2726150553123
 
 
 
Summary: 
sample variance = 8887.32594936709  
sample standard deviation = 94.2726150553123 
Each value is approximate
 
 
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