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11 Cards in this Set

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What is random sampling?
Random sampling is picking names from a hat or using the random button on a calculator.
Hat, ran button.
What is quota sampling?
Quota sampling is splitting the population into groups and then using random sampling. This stops results becoming biased.
Split, random.
What is stratified sampling?
Stratified sampling is taking a sample size in proportion to the each category in the population.
Proportion, category.
What is systematic sampling?
Systematic sampling is when selection takes place according to a rule.
Rule.
How many students would you pick from the lower and upper school if using statified sampling?
Sample size = 40
Lower school has 320 pupils.
Upper school has 240 pupils.
Lower school = 320/560 x40(lower/total)xsample size
=22.8
=23

Upper school = 240/560 x40
(upper/total xsample size)
=17

Check = 23+17 = 40
Lower school
(lower/total)xsample size

Upper school
(upper/total)xsample size
How many students would you choose from each year group using stratified sampling?
Sample size = 50
Year 7 has 90 students
Year 8 has 110 students
Year 9 has 110 students
Year 10 has 100 students
Year 11 has 90 students
Year 7 and 11 = 90/500 x50
(year 7/total x sample size)
= 9
Year 8 and 9 = 110/500 x50
(year 8/total x sample size)
=11
Year 10 = 100/500 x50
(year 10/total x sample size)
=10

Check = 9+9+11+11+10
=50
(year group/total x sample size)
How many people would you choose from technical department when using statified sampling?
Sample size = 100
Mamagement = 26 people
Clerical = 65 people
Technical = 637 people
Manual = 572 people
Technical = 637/1300 x100
(technical/totalxsample size)
=49 people
(technical/totalxsample size)
How many people would choose from each category when using stratified sampling?
Sample size = 25
Under 21 = 49 people
21-65 = 76 people
Over 65 = 13 people
Under 21 = 49/138 x25
(under 21/totalxsample size)
=8.87
=9

21-65 = 76/138 x25
(21 to 65/total xsample size)
=13.76
=14

Over 65 = 13/138 x25
(over 65/totalxsample size)
=2.35
=2

Check = 9+14+2 = 25
(under 21/totalxsample size)
(21 to 65/totalxsample size)
(over 65/totalxsample size)
How many people would you choose from each category using stratified sampling?
Sample size = 60
Managment = 48 people
Sales = 261 people
Shop floor = 2691 people
Managment = 48/3000 x60
(managment/totalxsample size)
=1

Sales = 261/3000 x60
(sales/total x sample size)
=5

Shop floor = 2691/3000 x60
(shopfloor/totalxsample size)
=54

Check = 1+5+54 = 60
(managment/totalxsample size)
(sales/total x sample size)
(shopfloor/totalxsample size)
How many people would you choose from each year group using stratified sampling?
Sample size = 1000
Under 18 = 12100 people
18 to 35 = 25300 people
36 to 65 = 16600 people
Over 65 = 7500 people
Under 18 = 12100/61500 x1000
(under 18/total xsample size)
=197

18 to 35 = 25300/61500 x1000
(18 to 35/total xsample size)
=411

36 to 65 = 16600/61500 x1000
(36 to 65/total xsample size)
=270

Over 65 = 7500/61500 x1000
(over 65/total x sample size)
=122

Check = 197+411+270+122
=1000
(under 18/total xsample size)
(18 to 35/total xsample size)
(36 to 65/total xsample size)
(over 65/total x sample size)
How many of each type of hat would you choose using stratified sampling?
Sample size = 50
2000 small hats
4000 medium hats
3000 large hats
1000 extra large hats
Small hats = 2000/10000 x50
(small/total x sample size)
=

Medium hats = 4000/10000 x50
(medium/total x sample size)
=

Large hats = 3000/10000 x50
(large/total x sample size)
=

Xlarge hats = 1000/10000 x50
(Xlarge/total x sample size)
=
(small/total x sample size)
(medium/total x sample size)
(large/total x sample size)
(Xlarge/total x sample size)