normal quantile plotsapstatsmonkey.com/statsmonkey/readbestpractice_files/... · 2012. 4. 14. ·...
TRANSCRIPT
Pick a Pack of Pennies: A Fathom Sampling Distribution Project
Dr. Laura SchultzRowan University
Penny_Population
Age
10.5743
9.41958
686
S1 = ( )mean
S2 = ( )popStdDev
S3 = ( )count
Penny_Population
Measures from Sample of Penny_Population
Measures from Sample of Penny_Population
Measures from Sample of Penny_Population
Measures from Sample of Penny_Population
Column Summary
MeanAge
5
50
SampleSize
10.4922
1000
4.12582
10.542
1000
1.28914
10.5171
2000
3.0566
S1 = ( )mean
S2 = ( )count
S3 = ( )popStdDev
Measures from Sample of Penny_Population (Proportions)
RowSummary
Proportion_oneYr
S1 = ( )mean
S2 = ( )popStdDev
S3 = ( )count
20
40
60
80
100
120
0 10 20 30 40 50 60
Age
Penny_Population Histogram
-4
-3
-2
-1
0
1
2
3
4
0 10 20 30 40 50 60
Age
Normal Quantile = -1.1 + 0.106Age
Penny_Population Normal Quantile Plot
Sample of Penny_Population Measures from Sample of Penny_PopulationPenny_Population
0.02
0.04
0.06
0.08
0.10
0.12
0.14
0.16
0 10 20 30 40 50 60
Age
Penny_Population Histogram
Penny_Population
Measures from Sample of Penny_Population
Measures from Sample of Penny_Population
Measures from Sample of Penny_Population
Measures from Sample of Penny_Population
Column Summary
MeanAge
5
50
SampleSize
10.4922
1000
4.12582
10.542
1000
1.28914
10.5171
2000
3.0566
S1 = ( )mean
S2 = ( )count
S3 = ( )popStdDev
Measures from Sample of Penny_Population (Proportions)
RowSummary
Proportion_oneYr
S1 = ( )mean
S2 = ( )popStdDev
S3 = ( )count
20
40
60
80
100
120
0 10 20 30 40 50 60
Age
Penny_Population Histogram
-4
-3
-2
-1
0
1
2
3
4
0 10 20 30 40 50 60
Age
Normal Quantile = -1.1 + 0.106Age
Penny_Population Normal Quantile Plot
Sample of Penny_Population Measures from Sample of Penny_PopulationPenny_Population
Penny_Population
Measures from Sample of Penny_Population
Measures from Sample of Penny_Population
Measures from Sample of Penny_Population
Measures from Sample of Penny_Population
Column Summary
MeanAge
5
50
SampleSize
10.4922
1000
4.12582
10.542
1000
1.28914
10.5171
2000
3.0566
S1 = ( )mean
S2 = ( )count
S3 = ( )popStdDev
Measures from Sample of Penny_Population (Proportions)
RowSummary
Proportion_oneYr
S1 = ( )mean
S2 = ( )popStdDev
S3 = ( )count
20
40
60
80
100
120
0 10 20 30 40 50 60
Age
Penny_Population Histogram
-4
-3
-2
-1
0
1
2
3
4
0 10 20 30 40 50 60
Age
Normal Quantile = -1.1 + 0.106Age
Penny_Population Normal Quantile Plot
Sample of Penny_Population Measures from Sample of Penny_PopulationPenny_Population
Penny_Population
Measures from Sample of Penny_Population
Measures from Sample of Penny_Population
Measures from Sample of Penny_Population
Measures from Sample of Penny_Population
Column Summary
MeanAge
5
50
SampleSize
10.4922
1000
4.12582
10.542
1000
1.28914
10.5171
2000
3.0566
S1 = ( )mean
S2 = ( )count
S3 = ( )popStdDev
Measures from Sample of Penny_Population (Proportions)
RowSummary
Proportion_oneYr
S1 = ( )mean
S2 = ( )popStdDev
S3 = ( )count
20
40
60
80
100
120
0 10 20 30 40 50 60
Age
Penny_Population Histogram
-4
-3
-2
-1
0
1
2
3
4
0 10 20 30 40 50 60
Age
Normal Quantile = -1.1 + 0.106Age
Penny_Population Normal Quantile Plot
Sample of Penny_Population Measures from Sample of Penny_PopulationPenny_Population
0.04
0.08
0.12
0.16
0.20
MeanAge
0 5 10 15 20 25 30 35
Measures from Sample of Penny_Population Histogram
Measures from Sample of Penny_Population
Measures from Sample of Penny_Population
Measures from Sample of Penny_Population
Measures from Sample of Penny_Population (Proportions)
RowSummary
Proportion_oneYr
S1 = ( )mean
S2 = ( )popStdDev
S3 = ( )count
20
40
60
80
100
120
0 10 20 30 40 50 60
Age
Penny_Population Histogram
Sample of Penny_PopulationPenny_Population
Measures from Sample of Penny_Population
Penny_Population
Repeat for n = 50Sampling Distributions of the Sample Mean
for n = 5 and n = 50
0.00
0.05
0.10
0.15
0.20
0.25
0.30
5
0.05
0.10
0.15
0.20
0.25
0.30
50
0 5 10 15 20 25 30 35
MeanAge
Density of MeanAge = x ( )mean ( )popStdDev, ,( )normalDensity
Measures from Sample of Penny_Population Histogram
Normal Quantile Plots
-4
-2
0
2
4
5
-4
-2
0
2
4
50
0 5 10 15 20 25 30 35
MeanAge
Normal Quantile (5) = -2.54 + 0.242MeanAge
Normal Quantile (50) = -8.2 + 0.775MeanAge
Measures from Sample of Penny_Population Normal Quantile Plot
Confirming the Central Limit TheoremPenny_Population
Age
10.5743
9.41958
S1 = ( )mean
S2 = ( )popStdDev
Measures from Sample of Penny_Population
Column Summary
MeanAge
5
50
SampleSize
10.4922
1000
4.12582
10.542
1000
1.28914
10.5171
2000
3.0566
S1 = ( )mean
S2 = ( )count
S3 = ( )popStdDev
!x̄ =9.41958!
5= 4.2 years
!x̄ =9.41958!
50= 1.3 years
µx̄ = µ
!x̄ =!!n
Sampling Distributions of the Sample Proportion
0
10
20
30
40
10
0
10
20
30
40
100
10
20
30
40
200
0.0 0.1 0.2 0.3 0.4
Proportion_oneYr
Measures from Sample of Penny_Population (Proporti…Histogram
µp̂ = p
!p̂ =!
pq
n
Penny_Population
Age
0.122449
S1 = Age 1=( )proportion
Measures from Sample of Penny_Population (Proportions)
RowSummary
SampleSizeSampleSize
100 200
SampleSize
10
Proportion_oneYr
0.1216
0.103216
1000
0.12132
0.031104
1000
0.12365
0.0230126
1000
0.12219
0.0636493
3000
S1 = ( )mean
S2 = ( )popStdDev
S3 = ( )count
Files Available to Download
Penny_Project08.ftm (Fathom data file)
Penny_Project.pdf (Student handout)
Penny_Slides.pdf (Slide handout for this presentation)
Copyright © 2008 by Laura Schultz
http://users.rowan.edu/~schultzl/AP2008.html