Iq Distribution 6Bc4D0
1. **Problem Statement:**
Find the class boundaries, class width, class marks, construct the frequency table, histogram, and determine mode, median, quartiles Q1 and Q3, and standard deviation for the IQ scores.
2. **Class Boundaries:**
Class boundaries are the actual limits of the classes, found by subtracting 0.5 from the lower limit and adding 0.5 to the upper limit.
For example, for 80-94:
Lower boundary = 80 - 0.5 = 79.5
Upper boundary = 94 + 0.5 = 94.5
Similarly for others:
95-109: 94.5 - 109.5
110-124: 109.5 - 124.5
125-139: 124.5 - 139.5
140-154: 139.5 - 154.5
3. **Class Width:**
Class width = Upper boundary - Lower boundary for any class
= 94.5 - 79.5 = 15
4. **Class Marks (Midpoints):**
Class mark = (Lower limit + Upper limit) / 2
For 80-94: (80 + 94)/2 = 87
95-109: 102
110-124: 117
125-139: 132
140-154: 147
5. **Frequency Table:**
| Class Interval | Frequency | Class Boundaries | Class Mark |
| 80-94 | 10 | 79.5 - 94.5 | 87 |
| 95-109 | 55 | 94.5 - 109.5 | 102 |
| 110-124 | 93 | 109.5 - 124.5 | 117 |
| 125-139 | 33 | 124.5 - 139.5 | 132 |
| 140-154 | 9 | 139.5 - 154.5 | 147 |
6. **Mode:**
Mode class is the class with highest frequency = 110-124
Mode formula for grouped data:
$$\text{Mode} = L + \frac{(f_1 - f_0)}{(2f_1 - f_0 - f_2)} \times h$$
Where:
$L=109.5$ (lower boundary of modal class),
$f_1=93$ (frequency of modal class),
$f_0=55$ (frequency before modal class),
$f_2=33$ (frequency after modal class),
$h=15$ (class width)
Calculate:
$$\text{Mode} = 109.5 + \frac{(93 - 55)}{(2 \times 93 - 55 - 33)} \times 15 = 109.5 + \frac{38}{(186 - 88)} \times 15 = 109.5 + \frac{38}{98} \times 15$$
$$= 109.5 + 5.816 = 115.316$$
7. **Median:**
Total frequency $N=200$
Median class is where cumulative frequency $rac{N}{2} = 100$ lies.
Cumulative frequencies:
10, 65, 158, 191, 200
Median class = 110-124
Median formula:
$$\text{Median} = L + \frac{\frac{N}{2} - F}{f} \times h$$
Where:
$L=109.5$, $F=65$ (cumulative frequency before median class), $f=93$, $h=15$
Calculate:
$$\text{Median} = 109.5 + \frac{100 - 65}{93} \times 15 = 109.5 + \frac{35}{93} \times 15 = 109.5 + 5.645 = 115.145$$
8. **Quartiles:**
$Q_1$ position = $\frac{N}{4} = 50$
$Q_3$ position = $\frac{3N}{4} = 150$
$Q_1$ class: cumulative frequency just greater than 50 is 65 (95-109)
$$Q_1 = 94.5 + \frac{50 - 10}{55} \times 15 = 94.5 + \frac{40}{55} \times 15 = 94.5 + 10.909 = 105.409$$
$Q_3$ class: cumulative frequency just greater than 150 is 158 (110-124)
$$Q_3 = 109.5 + \frac{150 - 65}{93} \times 15 = 109.5 + \frac{85}{93} \times 15 = 109.5 + 13.710 = 123.210$$
9. **Standard Deviation:**
Use formula for grouped data:
$$\bar{x} = \frac{\sum f x}{N}$$
Calculate mean:
$$\sum f x = 10 \times 87 + 55 \times 102 + 93 \times 117 + 33 \times 132 + 9 \times 147 = 870 + 5610 + 10881 + 4356 + 1323 = 23040$$
$$\bar{x} = \frac{23040}{200} = 115.2$$
Calculate variance:
$$\sigma^2 = \frac{\sum f x^2}{N} - \bar{x}^2$$
Calculate $\sum f x^2$:
$$10 \times 87^2 + 55 \times 102^2 + 93 \times 117^2 + 33 \times 132^2 + 9 \times 147^2$$
$$= 10 \times 7569 + 55 \times 10404 + 93 \times 13689 + 33 \times 17424 + 9 \times 21609$$
$$= 75690 + 572220 + 1272877 + 574992 + 194481 = 2596260$$
Variance:
$$\sigma^2 = \frac{2596260}{200} - 115.2^2 = 12981.3 - 13271.04 = -289.74$$
Since variance cannot be negative, re-check calculations or use corrected formula:
Use:
$$\sigma^2 = \frac{\sum f (x - \bar{x})^2}{N}$$
Calculate $\sum f (x - \bar{x})^2$:
$$(87 - 115.2)^2 \times 10 = 7958.4$$
$$(102 - 115.2)^2 \times 55 = 9497.4$$
$$(117 - 115.2)^2 \times 93 = 318.2$$
$$(132 - 115.2)^2 \times 33 = 9246.7$$
$$(147 - 115.2)^2 \times 9 = 8995.2$$
Sum = 7958.4 + 9497.4 + 318.2 + 9246.7 + 8995.2 = 36015.9
Variance:
$$\sigma^2 = \frac{36015.9}{200} = 180.08$$
Standard deviation:
$$\sigma = \sqrt{180.08} = 13.42$$
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**Final answers:**
- Class boundaries: 79.5-94.5, 94.5-109.5, 109.5-124.5, 124.5-139.5, 139.5-154.5
- Class width: 15
- Class marks: 87, 102, 117, 132, 147
- Mode: 115.316
- Median: 115.145
- Quartile Q1: 105.409
- Quartile Q3: 123.210
- Standard deviation: 13.42