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Methods of Sampling and Data Collection in Statistics

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Added on  2023-04-23

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This document discusses various methods of sampling and data collection in statistics including Slovin's formula, simple random sampling, systematic sampling, and more. It also includes solved assignments, essays, and dissertations related to statistics available on Desklib.

Methods of Sampling and Data Collection in Statistics

   Added on 2023-04-23

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Q1)
a) Slovin’s formula
N n n
5% error 1% error
1200 300 1071.42857
500 222.222222 476.190476
1600 320 1379.31034
4200 365.217391 2957.74648
bi) Simple random sampling
Step 1: making a list of all 200 schools in different municipalities
Step 2: assigning a sequential number to each the schools. This will act as sampling frame.
Step 3: figuring out the sample size, the sampling size in this case is 40
Step 4: using a random number generator select the sample using sampling frame from step 2 and step
3
This will mean that using the sample size of 40 and the total number of schools which is 200, we will
generate 40 random numbers between 1 and 200.
Sequential
number
Random
numbers
1 41
2 168
3 109
4 178
5 120
6 122
7 81
8 197
9 85
10 101
11 24
12 4
13 40
14 200
15 168
Methods of Sampling and Data Collection in Statistics_1
16 92
17 130
18 132
19 85
20 97
21 9
22 157
23 88
24 77
25 86
26 79
27 156
28 189
29 143
30 93
31 181
32 193
33 113
34 6
35 106
36 160
37 12
38 31
39 144
40 122
ii) Systematic sampling
Step 1: A number will be assign to every element, in this case from 1 to 200
Step 2: Deciding the sample size, in this our sample size is 40
Step 3: Dividing the total population of 200 by the sample size of 40 = 200/40 = 5. This will mean that we
will be choosing every 5th value
Step 4: using the sampling digit in step 3 to a certain point
Sample
points
1 1 2 3 4 5
2 6 7 8 9 10
3 11 12 13 14 15
4 16 17 18 19 20
5 21 22 23 24 25
Methods of Sampling and Data Collection in Statistics_2

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