Interva l Class Mid f cf≤ cf≥ f.m Frequency% fm2 45≤50 47.5 3 3 29 142.5 10.34 6768.75 50≤55 52.5 7 10 26 367.5 24.14 19293.75 55≤60 57.5 4 14 19 230 13.79 13225 60≤65 62.5 5 19 15 312.5 17.24 19531.25 65≤70 67.5 2 21 10 135 6.9 9112.5 70≤75 72.5 5 26 8 362.5 17.24 26281.25 75≤80 77.5 3 29 3 232.5 10.34 18018.75 Total N=29 1782.5 100 112231.3 Use the data in the frequency distribution table above to calculate first quartile, range and inter quartile range.
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
|
Interva l |
Class Mid |
f |
cf≤ |
cf≥ |
f.m |
Frequency% |
fm2 |
|
45≤50 |
47.5 |
3 |
3 |
29 |
142.5 |
10.34 |
6768.75 |
|
50≤55 |
52.5 |
7 |
10 |
26 |
367.5 |
24.14 |
19293.75 |
|
55≤60 |
57.5 |
4 |
14 |
19 |
230 |
13.79 |
13225 |
|
60≤65 |
62.5 |
5 |
19 |
15 |
312.5 |
17.24 |
19531.25 |
|
65≤70 |
67.5 |
2 |
21 |
10 |
135 |
6.9 |
9112.5 |
|
70≤75 |
72.5 |
5 |
26 |
8 |
362.5 |
17.24 |
26281.25 |
|
75≤80 |
77.5 |
3 |
29 |
3 |
232.5 |
10.34 |
18018.75 |
|
Total |
|
N=29 |
|
|
1782.5 |
100 |
112231.3 |
Use the data in the frequency distribution table above to calculate first quartile,
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