In: Math
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 |
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