Statistics Cards

Question 1

Null Hypothesis

Answer 1

Statement of the status quo, one of no difference or effect

Question 2

Alternate Hypothesis

Answer 2

One in which something is different or effect is expected

Question 3

Mean

Answer 3

Average of responses

Question 4

Mode

Answer 4

A measure of central tendency given as the value that occures the most in the sample distribution

Question 5

Median

Answer 5

A measure of central tendency given as the value above which half of the values fall and below which half of the values fall

Question 6

Range

Answer 6

Indicative of breadth of response - dif between smallst and largest

Question 7

Variance

Answer 7

How Similar or different datapoitns are

Question 8

Standard Deviation

Answer 8

Variance expressed in the units of information presented

Question 9

Interquartile Range

Answer 9

Midspread/middle fifty - measure of dispersion between upper and lower quartiles

Question 10

Chi-Square

Answer 10

Statistic used to test the statistical significance of the assocation between two variables in cross tabulation.

Question 11

Contingency Coefficient

Answer 11

The measure of strength of assocation in a table of any size (0 to 1)

Question 12

Chi-Squared Distribution

Answer 12

A skewed distribution whose shape epends on the number of degrees of freedom (more freedom more symmetrical)

Question 13

Pearson Correlation / R / Product Moment Correlation

Answer 13

Summary of the strength between X and Y- degree to which variation in one causes variation in another.

Question 14

R-Squared

Answer 14

Measures the proportion of variation in one variable that is explained by the other. (HOW WELL does the Model fit)

Question 15

Regression Analysis

Answer 15

Used to show:
Existence of a relationship
Strength of Relationship
Relationship between independent and dependent variables
model of assocation
determine contribution of variable by controlling other variable

Question 16

Bivariate Regression

Answer 16

Procedure for determining relationship between single metric dependent variable (x) and single metric independent variable (y) - Hypothesis of assocation or causality

Question 17

Cofficient of Determination

Answer 17

Shows the strength of assocation between X & y (in bivariate regression) - Sows proportion of variation in Y that is accounted for by variation in X

Question 18

Standard Error/Estimate

Answer 18

Standard Deviation of the actual Y from the predicted Y

Question 19

Multiple Regression

Answer 19

Technique used to establish a relationship between two or more independent variables and an interval scaled dependent variable.

Question 20

Partial regression coefficient

Answer 20

denotes the change in the predicted value of y when x is changed by one unit but all other variables are held constant

Question 21

Covariance

Answer 21

a systematic relationship between two variables in which a change in one implies a corrosponding change in another.