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Question one The following table gives the distribution of marks of 60 students in applied statistics...

Question one

The following table gives the distribution of marks of 60 students in applied statistics test

Marks

0 - 9

10 - 14

15 - 19

20 - 24

25 - 34

Frequency

13

19

12

7

9

  1. Calculate the:
  2. Mean, mode, median and define statistics                     
  3. Lower quartile , upper quarter, Interquartile range
  4. A researcher has extracted two samples from the same target population, sample A and sample B. Sample A has a mean of 25 kg while sample B has a mean twice that of sample A. Sample size of sample A is three times more than that of sample B. Sum of sample sizes is 60. Calculate:
  1. Mean of sample B (1mark)
  2. Sample size of sample A and sample B
  3. Summation of x variables for sample A and sample B
  4. Standard deviation of sample A and sample B, consider ungrouped data

Solutions

Expert Solution

b)

Marks

Frequency (f)

Mid Point (m)

f*m

0 - 9

13

4.5

58.5

10-14'

19

12

228

15 - 19

12

10

120

20 - 24

7

13

91

25 - 34

9

18

162

Total

60

659.5

Mean = ∑f*m/∑f = 659.5/60 = 10.99

Mode = Maximum frequency interval = 10-14. Hence Mode lies in the interval 10-14

Marks

Frequency (f)

Cumulative Freq

0 - 9

13

13

10-14'

19

32

15 - 19

12

44

20 - 24

7

51

25 - 34

9

60

Total

60

Half of Total Freq = 60/2 = 30

Hence Median (Q) will lie in the interval 10-14

Hence,

{(Q – 10) / (30-13)} = {(14-10) / (32-13)}

Hence, Q = 13.58

Hence, Median = 13.58

c)

Q1 or First Quartile.

Hence, 0.25*60 = 15th Value. This lies in the range 10-14

Hence,

{(Q1 – 10) / (15-13)} = {(14-10) / (32-13)}

Hence, Q1 = 10.42

Similarly,

Q3 or Third Quartile.

Hence, 0.75*60 = 45th Value. This lies in the range 20-24

Hence,

{(Q3 – 20) / (45-44)} = {(24-20) / (51-44)}

Hence, Q3 = 20.57

So, IQR = Q3 – Q1 = 20.57 – 10.42 = 10.15

d)

i)

Mean of Sample B = 2 * Mean of Sample A = 2 * 25 = 50 kg

ii)

Let Sample size of B be x

Then Sample size of A = 3x

Hence, 4x = 40 or x = 15

So,

Sample Size of B = 15

Sample Size of A = 3*15 = 45

iii)

Summation of X variables of A = Mean of Sample A * Sample Size of A = 25*45 = 1080

Summation of X variables of B = Mean of Sample B * Sample Size of B = 50*15 = 750

iv) We cannot calculate the Std Deviation without the individual values


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