exam 2

Question 1

mean

Answer 1

average

sum/size

interval and ratio

Question 2

median

Answer 2

middle

interval and ratio

Question 3

mode

Answer 3

most

nominal and ordinal

Question 4

range

Answer 4

y max - y min

describes the extremes of the data around the typical case

Question 5

variance

Answer 5

x = samples
x bar = mean
x - x bar
x - bar ^2

total / n-1 = variance

takes into account all variables

Question 6

SD

Answer 6

sq rt of variance

summarizes the data more than the variance bc SD is in the same unit as the mean

says if something is unexpected

bell curve

Question 7

hypothesis testing

Answer 7

compare means of 2 groups

Question 8

n =

Answer 8

sample size

Question 9

x bar =

Answer 9

sample mean

Question 10

u =

Answer 10

population mean

Question 11

s =

Answer 11

sample SD

Question 12

o =

Answer 12

population SD

Question 13

a =

Answer 13

level of confidence

Question 14

degrees of freedom =

Answer 14

sample size - 1

Question 15

z test =

Answer 15

population

Question 16

t test =

Answer 16

sample (n-1)

Question 17

central tendency

Answer 17

describes the typical case in a data set

mean
median
mode

Question 18

dispersion

Answer 18

if there is no variability, all measures will be 0

Question 19

Nominal/ordinal - nominal/ordinal =

Answer 19

cross tabs ch. Sq tests

Question 20

interval/ratio - nominal-ordinal =

Answer 20

regression

Question 21

interval/ration- interval/ratio =

Answer 21

scatterplots, regression

Question 22

nominal/ordinal - interval/ratio =

Answer 22

box plots, dif. Means. tests

Question 23

Chisquare =

Answer 23

sum of the squared difference between observed and expected frequencies in each cell/expected frequency for each cell

The chi-square test is a hypothesis test designed to test for a statistically significant relationship between nominal and ordinal variables organized in a bivariate table. In other words, it tells us whether two variables are independent of one another.