STATS Exam 3
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1
Every individual/element is given equal chance to form part of the sample
Simple random sampling
2
Type 1 error?
Occurs when H0 is true, and we reject H0
3
s
sample standard deviation
4
What is the condition for "large sample" in central limit theorem?
Sample size is large, n is greater than or equal to 25
5
Type 2 error?
Occurs when H0 is false, and we do not reject H0
6
What is the condition for "big population" in central limit theorem?
The population must be at least 10 times larger than sample size.
7
When do we reject the null?
when p is less than 0.05
8
What does n stand for?
sample size
9
what does N stand for
population size
10
What 2 numbers is proportion between?
0-1
11
what does this symbol mean p̂?
sample proportion
12
What does state the hypothesis mean?
μ=# and μ<#
13
σ/√n
formula for standard error
14
Dividing the sampling frame into distinct groups of individuals and then taking a separate simple random sample (SRS) and combining these to form the sample.
Stratified random sampling
15
A random sample of clusters (distinct groups) are selected and then all individuals in the SRS of clusters form our sample.
Cluster sampling
16
Using a formula selecting every e.g. selecting every kth element/object/subject.
Systemic sampling
17
Drawing from a population due to it being close to hand
Convenience sampling
18
σ
population standard deviation
19
μ
population mean
20
Type of sampling made up of volunteers
Voluntary response sampling
21
x̄
sample mean
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