Sample Size

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Dr. Michael R. Hyman, NMS U Sample Size (Click icon for audio)

description

Sample Size. (Click icon for audio). Relationship Between Sample Size and Error. Determine Size for Probability Sample—Practical Issues. Financial Statistical Managerial (how confident needed). Ways to Determine Sample Size. Blind guess Available budget Bayesian considerations - PowerPoint PPT Presentation

Transcript of Sample Size

Dr. Michael R. Hyman, NMSU

Sample Size

(Click icon for audio)

2

Relationship Between Sample Size and Error

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Determine Size for Probability Sample—Practical Issues

• Financial

• Statistical

• Managerial (how confident needed)

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Ways to Determine Sample Size

• Blind guess

• Available budget

• Bayesian considerations

• Rules of thumb– Main group n > 100– Subgroups 20 < n < 100

• Standards for comparable studies

• Statistical precision

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Typical Sample Sizes

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Statistical Precision

Must know:

• Variability of population and individual stratum

• Acceptable level of sampling error

• Needed level of confidence

• Type of distribution (if non-normal)

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Online Sampling Calculators

From DSS Research:

• Sample Sizehttp://www.dssresearch.com/toolkit/sscalc/size.asp

• Sample Errorhttp://www.dssresearch.com/toolkit/secalc/error.asp

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Sample Size Formula

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Ezs

n

where:n = sample sizez = confidence interval in standard error unitss = standard error of the meanE = acceptable magnitude of error

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Sample Size Formula:Example #1

Suppose a survey researcher, studying expenditures on lipstick, wishes to have a 95% confident level (Z) and a range of error (E) of less than $2.00. The estimate of the standard deviation is $29.00.

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2

E

zsn

2

00.2

00.2996.1

2

00.2

84.56

242.28 808

Calculation: Example #1

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Suppose, in the same example as the one before, the range of error (E) is acceptable at $4.00. By how much is sample size is reduced?

Sample Size Formula:Example #2

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2

E

zsn

2

00.4

00.2996.1

2

00.4

84.56

221.14 202

Calculation: Example #2

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99% Confidence

Calculating Sample Size

1389

265.372

253.74

2

2)29)(57.2(n

2

347 6325.18 2

453.74

2

4)29)(57.2(n

2

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2

2

EpqZ

n

Sample Size for a Proportion

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2

2

Epqz

nWhere:

n = number of items in samples

Z2 = square of confidence interval in standard error units

p = estimated proportion of success

q = (1-p) or estimated the proportion of failures

E2 = square of maximum allowance for error between true proportion and sample proportion, or zsp squared.

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Calculating Sample Size at the 95% Confidence Level

753001225.

922.

001225

)24)(.8416.3(

)035( .)4)(.6(.)96 1. (

n4.q

6.p2

2

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