1
Q
Measures of Center Tendency
A
Mean
Median
Mode
2
Q
Which central tendency would be used for nominal data? Why?
A
Mode
- non numerical
- descriptive
3
Q
Which central tendency would we use for interval data? Why?
A
Mean
- scale is equally spaced
4
Q
Descriptive Statistics
A
Summarize the sample using statistical characteristics
- central tendency measures
- dispersion/variance
- frequency
- create graphs
5
Q
Inferential Statistics
A
Making a statement about the population we took from the sample
- hypothesis testing
- regression analysis
- correlation analysis
6
Q
Hypothesis
A
A claim we want to test
7
Q
Null Hypothesis
A
The default or current accepted value for a parameter
8
Q
Alternative Hypothesis
A
The research hypothesis- involves claim being tested
9
Q
Null Hypothesis outcome
A
- Reject null
- Fail to reject
prove the null hypothesis wrong
10
Q
P -value
A
- Depicts the probability that the null hypothesis is true
- The smaller the P- value the more confident we are in rejecting the null
- P-value
11
Q
Alpha
A
- Refers to the likelihood that the true population parameter falls outside of our confidence interval
- Expressed using a decimal
- CL is 95%, Alpha = .05
12
Q
If p-value < alpha
A
reject the null
13
Q
if p-value > alpha
A
fail to reject the null
