From the data given below state which group is more variable, A or B?
X | 35 | 54 | 52 | 53 | 56 | 58 | 52 | 50 | 51 | 49 |
Y | 108 | 107 | 105 | 105 | 106 | 107 | 104 | 103 | 104 | 101 |
The prices of the shares X are
35, 54, 52, 53, 56, 58, 52, 50, 51, 49
Here, the number of observations, N = 10
∴ \(Mean,\bar{x}=\frac{1}{N}\sum_{i=1}^{10}x_i=\frac{1}{10}×510=51\)
The following table is obtained corresponding to shares X
\(x_i\) | \(x_i,-\bar{x}\) | \((x_i,-\bar{x})^2\) |
35 | -16 | 256 |
35 | 3 | 9 |
53 | 1 | 1 |
56 | 2 | 4 |
58 | 5 | 25 |
52 | 7 | 49 |
50 | 1 | 1 |
51 | -1 | 1 |
49 | 0 | 0 |
- | 2 | 4 |
- | - | 350 |
Variance(σ2) = \(\frac{1}{N}\sum_{i=1}^{10}(xi-\bar{x})^2=\frac{1}{10}×350=35\)
\(∴\,Standard\,deviation\.(σ_1) =√35=5.91\)
C.V (Shares X)= \(\frac{σ_1}{X}×100=\frac{5.91}{51}×100=11.58\)
The prices of share Y are
108, 107, 105, 105, 106, 107, 104, 103, 104, 101
∴ Mean, \(\bar{y}=\frac{1}{N}\sum_{i=1}^{10}yi=\frac{1}{10}×1050=105\)
The following table is obtained corresponding to shares Y
\(y_i\) | \(y_i,-\bar{y}\) | \((y_i,-\bar{y})\) |
108 | 3 | 9 |
107 | 2 | 4 |
105 | 0 | 0 |
105 | 0 | 0 |
106 | 1 | 1 |
107 | 2 | 4 |
104 | 1 | 1 |
103 | 2 | 4 |
104 | 1 | 1 |
101 | 4 | 16 |
- | - | 40 |
Variance(σ2) = \(\frac{1}{N}\sum_{i=1}^{10}(y_i-\bar{y})^2=\frac{1}{10}×40=4\)
\(Standard\,deviation\.(σ_2) =√4=2\)
∴ C.V (Shares )= \(\frac{σ_2}{X}×100=\frac{2}{105}×100=1.9=11.58\)
∴ C.V. of prices of shares X is greater than the C.V. of prices of shares Y
Thus, the prices of shares Y are more stable than the prices of shares X.
Figures 9.20(a) and (b) refer to the steady flow of a (non-viscous) liquid. Which of the two figures is incorrect ? Why ?
A frequency distribution is a graphical or tabular representation, that exhibits the number of observations within a given interval. The interval size entirely depends on the data being analyzed and the goals of the analyst. The intervals must be collectively exclusive and exhaustive.
Both bar charts and histograms provide a visual display using columns, with the y-axis representing the frequency count, and the x-axis representing the variables to be measured. In the height of children, for instance, the y-axis is the number of children, and the x-axis is the height. The columns represent the number of children noticed with heights measured in each interval.
The types of the frequency distribution are as follows: