statistical concepts (part iii)

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Statistical Concepts (part III) Concepts to cover or review today: Population parameter Sample statistics – Mean Standard deviation Coefficient of variation Standard error Confidence interval Estimating totals Estimating standard deviation, standard error, confidence intervals, coefficient of variation for totals Sample size estimation You should understand these terms by the end of the lecture and be able to conduct estimations.

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Statistical Concepts (part III). Concepts to cover or review today: Population parameter Sample statistics Mean Standard deviation Coefficient of variation Standard error Confidence interval Estimating totals - PowerPoint PPT Presentation

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Page 1: Statistical Concepts (part III)

Statistical Concepts(part III)

• Concepts to cover or review today:– Population parameter– Sample statistics– Mean– Standard deviation– Coefficient of variation– Standard error– Confidence interval– Estimating totals– Estimating standard deviation, standard error, confidence intervals,

coefficient of variation for totals– Sample size estimation

• You should understand these terms by the end of the lecture and be able to conduct estimations.

Page 2: Statistical Concepts (part III)

Estimation Problem:• Mice weights (g):

21.219.315.926.1

1816.820.616.210.819.3

1

)(1

2__

n

XXsStdev

n

i

i

nStdevSE

CI95 = Mean ± 1.96 * SE

n

XXMean

n

i

i 1

__

• Estimate:

Page 3: Statistical Concepts (part III)

Answers

MEAN 18.42STD 4.02

CV 21.8241

se 1.271236

low CI 15.92838up CI 20.91162

Page 4: Statistical Concepts (part III)

Distribution of Means

16 17 18 19 20

Weight (g)

Freq

uenc

y (n

)

Mean = 18.0SD = 3.6

n = 100

1 se1 se2 se 2 se

2.5 %2.5 %

(truth)

Mean

1 se1 se2 se 2 se1 se1 se2 se 2 se1 se1 se2 se 2 se

Page 5: Statistical Concepts (part III)

Elzinga et al. (2001:76)

Target/Statistical Population

Sample Unit

Individual objects(in this case, plants)

Density to Totals

Page 6: Statistical Concepts (part III)

Estimating Means or Density

1

)(1

2__

n

XXStdev

n

i

i

nStdevSE

CI95 = Mean ± 1.96 * SE

n

XXMean

n

ii

1__

CV = Stdev / Mean

Page 7: Statistical Concepts (part III)

Estimating Totals of Target Population

1

)(1

2__

n

XXNsStdev

n

ii

totaltotal

nStdevSE total

total

CI95 = Total ± 1.96 * SEtotal

n

XNXNTotal

n

i

i 1

__

CV = Stdevtotal / Total

CV = Stdevmean / Mean

(both CVs are the same value)

N = Total number of sample units

Page 8: Statistical Concepts (part III)

Example: Total

number of sagebrush

Page 9: Statistical Concepts (part III)

Target/Statistical Population

Sample Unit

Individual objects in sample unit(sagebrush plants)

Estimating Total Sagebrush Plants

N = 355

n = 25

Page 10: Statistical Concepts (part III)

Estimating Totals

68420

1057920

125

43892068

11473

Mean = 5.40

Stdevmean = 3.48

CV = 0.64

Total = 1917

Stdevtotal = 1230

SEtotal = 246

95% CItotal = 1435, 2399

Sagebrush per sampled plot

Page 11: Statistical Concepts (part III)

Target/Statistical Population

Sample Unit

Individual objects in sample unit(sagebrush plants)

Want Total to be ± 250 plants our first attempt was ± 482 plants

N = 355

n = 25

Page 12: Statistical Concepts (part III)

• How might we do this ?

Calculating Sample Size

nStdevSE total

total

CI95 = Total ± 1.96 * SEtotal

total

total

SEStdevn

2

total

total

SEStdevn

1.96 * SEtotal = 250 SEtotal = 250 / 1.96

Page 13: Statistical Concepts (part III)

Sagebrush Example:

• We want to get within ± 250 shrubs• How many units do we need to sample ?

2

SEStdevn total

SE = 250 / 1.96 = 127.6

Stdevtotal = 1230

n = (1230 / 127.6)2 = 93