Download Guidelines

The original
Collection of sample
collection (population)
means
A random sample
contains a set of
from the
scores.
population.
This summary
table shows
the mean and
s.d. of the
population.
This summary table and histogram
discribe the distribution of the sample
means.
Double click the sample and measures collection
to open their inspectors.
Find, from the sample
inspector, the sample size,
i.e., the number of cases in
each sample.
Find, from the measures
collection, the number of
random samples obtained.
Compare the population mean  and the
mean of the sampling distribution.
If the standard deviation of the population is
, then the standard deviation of the

sampling distribution is n , where n is the
sample size.
  32.7
  24.451789
S.D. of sampling
distribution
20
expected
5.4675862
140
120
empirical
5.3396115
Histogram
160
Count
Sample
size
Measures from Sample of data
100
80
60
40
50
20
15
100
1000
20
25
30 35 40
sample_mean
45
50
55
  32.7
  24.451789
S.D. of sampling
distribution
expected
20
5.4675862
160
empirical
5.3396115
Histogram
200
Count
Sample
size
Measures from Sample of data
120
80
40
50
3.4580052
3.4363303
15
100
1000
20
25
30
35
40
sample_mean
45
50
55
  32.7
  24.451789
S.D. of sampling
distribution
expected
20
5.4675862
160
empirical
5.3396115
Histogram
180
Count
Sample
size
Measures from Sample of data
140
120
100
80
60
40
50
3.4580052
3.4363303
20
15
100
1000
2.4451789
2.4257041
20
25
30
35
40
sample_mean
45
50
55
  32.7
  24.451789
S.D. of sampling
distribution
expected
20
5.4675862
200
empirical
5.3396115
Histogram
250
Count
Sample
size
Measures from Sample of data
150
100
50
50
3.4580052
3.4363303
15
100
2.4451789
2.4257041
1000
0.77323346
0.77308737
20
25
30
35
40
sample_mean
45
50
55