Statistics Vocab

Question 1

Statistics

Answer 1

Collect, organize, summarize, analyze, and make conclusions

Question 2

Descriptive

Answer 2

Population - describes

Question 2

Inferential

Answer 2

Sample - infers, makes prediction.

Question 2

Population

Answer 2

Everyone

Question 3

Sample

Answer 3

Subgroup of a population

Question 4

Qualitative

Answer 4

A characteristic, quality ex: hair color, eye color, marital status, grade level

Question 5

Quanitative

Answer 5

Numerical, percentage

Question 6

Example Discrete (used to count)

Answer 6

ex: number of students

Question 7

Examples of Continuous (can have decimals)

Answer 7

ex: weight, time, distance

Question 8

Nominal

Answer 8

Qualitative variable with no order (hair color, zip code, marital status)

Question 9

Ordinal

Answer 9

Qualitative variable with order (ex: T-shirt sizes, grade levels, letter grades)

Question 10

Interval

Answer 10

Quantitative variable with no true zero (ex: temperature, years)

Question 11

Ratio

Answer 11

Quantitative variable with a true zero (ex: money, weight, time)

Question 12

Random

Answer 12

Completely random, everyone in the population has an equal chance of being selected.

Question 13

Examples of Random Sampling

Answer 13

Picking names out of a cat, random name/number generator

Question 14

Systematic

Answer 14

Every kth subject ( ex: picking every 5th person in a line)

Question 15

Stratified

Answer 15

Divide the population into subgroups, then randomly sample from each subgroup

Question 16

Example of Stratified Sampling

Answer 16

Divide UHS students by grade and then randomly select 20 students from each grade.

Question 17

Cluster

Answer 17

Convenient, using an intact group as our sample, not the best reliable sampling.

Question 18

Observation Study

Answer 18

The researcher can’t do anything except observe and draw conclusions.

Question 19

Experiment

Answer 19

You must do something as the researcher.

Question 20

Independent

Answer 20

Manipulated Variable (explanatory variable)

Question 21

Dependent

Answer 21

The variable that is influenced by the variable (The response)

Question 22

Confounding Variable

Answer 22

Something that influences the dependent variable but cannot be separated from the independent variable.

Question 23

Boundaries

Answer 23

When you add or subtract a 5 after placing a 0 at a number.