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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)