Terms
What a sample and population?
A sample is a subset of a population. A population is all of the occurrences with a certain characteristic.
What is n?
Sample Size
What type of relationship is .5 to 1.0?
Strong relationship
No relationship between variables.
Null
What is the median of this data set?
2, 4, 5, 7, 8
5
Nominal - Categories/levels, NO RANK/words OR #’s, case ID #, inmate #, phone #, dichotomous/dummy (Gender; Race, Ethnicity)
Ordinal-Categories, RANKABLE/can be words/numeric ranges (-10,000$ - 20,000$, -20,001$ - 30,000$), “plz select the following that best matches your age ‘18-30, 30-50’”
Interval/Ratio - Know the actual number, “I make 50,000$”
What is N?
Population size
What type of relationship is 0 to .1?
Weak or no relationship
Refers to the sample.
What are the three most common measures of variability?
Range, Standard deviation and Variance.
What is Mode, Median, Mean?
Mode is the most frequently occurring value.
The median is defined as the midpoint in a set of scores. It’s the point at which ½,/50%, of the scores fall above, & ½,/50%, fall below.
Mean is the middle point in a set of values
What is s?
Standard Deviation
What type of relationship is .4?
Moderate to strong relationship.
Written using Roman symbols.
Research.
What is the mode of this data set?
1, 3, 5, 3, 4, 3
3
What is Research and Null Hypotheses?
Null hypotheses refer to populations and are written in Greek symbols.
Research hypotheses refer to samples and are written in Roman symbols.
What is X?
Each individual score.
What type of relationship is .3?
Moderate relationship
Written using Greek symbols.
Null.
What is a Bivariate correlation?
Two variables.
Explain Descriptive Statistics and Inferential Statistics.
Descriptive Statistics: Used to organize and describe the characteristics of a particular data set.
Inferential Statistics: Used to make inferences based on a smaller group of representative data.
What is M?
Mean.
What type of relationship is .2?
Weak to moderate relationship.
Implied hypothesis.
Null.
What are the 5 steps to a hypothesis test?
1. What are the research and null hypotheses?
2. What are the assumptions (x, y, level of measurement, assumption of distribution?)
3. What test(s) will you be using?
4. What is the computed value(s)? What is the critical value(s)? What is the significance level (.05)?
5. What do your results mean?