SOLUTION: 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

Algebra ->  Probability-and-statistics -> SOLUTION: 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       Log On


   



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(3816) About Me  (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:
NumberClass Interval
145 - 91
292 - 138
3139 - 185
4186 - 232
5233 - 279
6280 - 326
7327 - 373
8374 - 420
9421 - 467
10468 - 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 IntervalFrequency
45 - 9121
92 - 13822
139 - 18519
186 - 2328
233 - 2792
280 - 3263
327 - 3730
374 - 4203
421 - 4671
468 - 5141


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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