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Grade 9 Notes of Statistics|| Optional Mathematics

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Statistics involves analyzing collected data through measures of central tendency, such as mean (average), median (middle value), and mode (most frequent), to identify typical patterns in individual or discrete observations. Partition values like quartiles, deciles, and percentiles divide ordered ungrouped data into equal parts using positional formulas, enabling detailed segmentation for analysis. Dispersion measures quantify data spread, including quartile deviation, mean deviation from median or mean, and standard deviation as the root of variance, with coefficients for relative comparison. Frequency tables and cumulative frequencies organize discrete series, facilitating calculations of mean, median, deviations, and standard deviation for comprehensive statistical insights.

Statistics – Chapter 8 Study Guide

8.0 Review of Statistics

Data: Collection of facts, numbers, or observations.

Types of Data:

Individual data: Each observation is considered separately.

Discrete data: Data that can take specific, separate values.

Frequency: Number of times a particular value occurs.
Cumulative frequency: Running total of frequencies up to a certain point.

Arithmetic Mean (Average):
X̄ = ΣX / N

Measures of Central Tendency:

Mean (X̄): Average of all values.

Median (Md): Middle value of ordered data.

Mode: Most frequently occurring value.

8.1 Partition Values of Ungrouped Data

Partition values: Divide data into more than two parts.

(i) Quartiles

Divide data into 4 equal parts: Q1, Q2 (median), Q3

Formulas for individual/discrete data:

Q1 = (N + 1)/4 th item

Q2 = (N + 1)/2 th item

Q3 = 3(N + 1)/4 th item

Example:
Data: 22, 26, 14, 30, 18, 17, 35, 41, 12, 32, 34
Ascending: 12, 14, 17, 18, 22, 26, 30, 32, 34, 35, 41
N = 11

Q1 = 3rd item = 17
Q3 = 9th item = 34

(ii) Deciles

Divide data into 10 equal parts: D1, D2, …, D9

Formula:
Dn = n(N + 1)/10 th item, n = 1, 2, …, 9

Example:
Data: 25, 27, 28, 29, 30, 31, 38, 40, 45, 52, 59
D7 = 7(12)/10 = 8.4 th item = 40 + 0.4(45 – 40) = 42

(iii) Percentiles

Divide data into 100 equal parts: P1, P2, …, P99

Formula:
Pn = n(N + 1)/100 th item, n = 1, 2, …, 99

Example:
P45 = 45 * 12 / 100 = 5.4 th item = 30 + 0.4(31 – 30) = 30.4

8.2 Measures of Dispersion

Dispersion: Measures how spread out the data is.

Common measures:

Range

Quartile Deviation (QD)

Mean Deviation (MD)

Variance (σ²)

Standard Deviation (SD)

Coefficients of Dispersion

1. Quartile Deviation (QD)

QD = (Q3 – Q1)/2

Coefficient of Quartile Deviation (CQD):
CQD = (Q3 – Q1) / (Q3 + Q1)

Example:
Q1 = 17, Q3 = 34
QD = (34 – 17)/2 = 8.5
CQD = (34 – 17)/(34 + 17) = 17/51 ≈ 0.33

2. Mean Deviation (MD)

Mean of absolute deviations from mean or median

From mean: MD = Σ|X – X̄| / N

From median: MD = Σ|X – Md| / N

Coefficient of Mean Deviation (CMD):
CMD = MD / Mean or Median

Example:
Data: 40, 44, 54, 60, 62, Median = 54
Σ|X – Md| = 38, N = 5
MD = 38 / 5 = 7.6
CMD = 7.6 / 54 ≈ 0.14

3. Standard Deviation (SD)

SD = σ = √(Σ(X – X̄)² / N)

For discrete series:
SD = √(Σf(X – X̄)² / N)

Coefficient of SD (CSD):
CSD = SD / X̄

Example:
Data: 22, 25, 30, 35, 40, 45, 48
X̄ = 35, Σ(X – X̄)² = 588
SD = √(588/7) = 9.17
CSD = 9.17 / 35 ≈ 0.262

4. Variance

Variance = σ² = Σ(X – X̄)² / N

Coefficient of Variation (CV):
CV = SD / X̄

 

5. Important Solved Questions

Q1. Find Quartiles of the data:
Data: 12, 14, 17, 18, 22, 26, 30, 32, 34, 35, 41

Solution:

Arrange in ascending order (already arranged)

N = 11

Q1 = (N + 1)/4 th item = 12/4 = 3rd item = 17

Q2 (Median) = (N + 1)/2 th item = 12/2 = 6th item = 26

Q3 = 3(N + 1)/4 th item = 36/4 = 9th item = 34

Answer: Q1 = 17, Median = 26, Q3 = 34

Q2. Find D7 (7th decile) of the data:
Data: 25, 27, 28, 29, 30, 31, 38, 40, 45, 52, 59

Solution:

N = 11

D7 = 7(N + 1)/10 th item = 7 * 12 / 10 = 8.4 th item

8th item = 40, 9th item = 45

Interpolate: 40 + 0.4(45 – 40) = 40 + 2 = 42

Answer: D7 = 42

Q3. Find P45 (45th percentile) of the data:
Data: 25, 27, 28, 29, 30, 31, 38, 40, 45, 52, 59

Solution:

N = 11

P45 = 45(N + 1)/100 th item = 45 * 12 / 100 = 5.4 th item

5th item = 30, 6th item = 31

Interpolate: 30 + 0.4(31 – 30) = 30 + 0.4 = 30.4

Answer: P45 = 30.4

Q4. Find Mean Deviation from Median:
Data: 40, 44, 54, 60, 62

Solution:

Median Md = 54

Σ|X – Md| = |40 – 54| + |44 – 54| + |54 – 54| + |60 – 54| + |62 – 54| = 14 + 10 + 0 + 6 + 8 = 38

N = 5

MD = 38 / 5 = 7.6

CMD = MD / Median = 7.6 / 54 ≈ 0.14

Answer: MD = 7.6, CMD ≈ 0.14

Q5. Find Standard Deviation and CSD:
Data: 22, 25, 30, 35, 40, 45, 48

Solution:

Mean X̄ = (22 + 25 + 30 + 35 + 40 + 45 + 48)/7 = 245/7 = 35

Σ(X – X̄)² = (22–35)² + (25–35)² + (30–35)² + (35–35)² + (40–35)² + (45–35)² + (48–35)²
= 169 + 100 + 25 + 0 + 25 + 100 + 169 = 588

SD = √(588 / 7) = √84 ≈ 9.17

CSD = SD / X̄ = 9.17 / 35 ≈ 0.262

Answer: SD ≈ 9.17, CSD ≈ 0.262

Q6 Table solution

Data Table:

Fig 1: Table

Step 1: Total Frequency
N = 2 + 3 + 5 + 4 + 1 = 15

Step 2: Mean

fX = f * X

Fig2:Table
Sum fX = 20 + 36 + 75 + 72 + 20 = 223

Mean = sum fX / N = 223 / 15 ≈ 14.87

Step 3: Median
Cumulative frequency (CF):

Fig 3 :Table

Median position = N/2 = 15/2 = 7.5th item → lies in X = 15

Median = 15

Step 4: Mean Deviation from Median (MD)

| X | f | |X - Md| | f * |X - Md||
| 10 | 2 | 5 | 10 |
| 12 | 3 | 3 | 9 |
| 15 | 5 | 0 | 0 |
| 18 | 4 | 3 | 12 |
| 20 | 1 | 5 | 5 |

Sum f * |X - Md| = 36

MD = 36 / 15 = 2.4

CMD = MD / Median = 2.4 / 15 = 0.16

Step 5: Standard Deviation (SD)

Fig 4: Table

Sum f * (X - Mean)^2 ≈ 137.63

SD = sqrt(137.63 / 15) = sqrt(9.175) ≈ 3.03

CSD = SD / Mean = 3.03 / 14.87 ≈ 0.204

Final Answers:

Mean = 14.87

Median = 15

MD = 2.4

CMD = 0.16

SD = 3.03

CSD = 0.204


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