Memory Quiz

Question 1

p^

Answer 1

Sample statistic

Question 2

p

Answer 2

Population parameter

Question 3

p0

Answer 3

Parameter used in null hypothesis

Question 4

P-value

Answer 4

Probability of test statistic or more extreme happening by natural variation

Question 5

Z

Answer 5

Standardized score

Question 6

Z*

Answer 6

Upper p critical value (right tail)

Question 7

-Z*

Answer 7

Lower p critical value (left tail)

Question 8

H0

Answer 8

Null hypothesis

Question 9

HA

Answer 9

Alternate hypothesis

Question 10

n

Answer 10

Sample size

Question 11

N

Answer 11

Population size

Question 12

np^

Answer 12

successes expected in sample

Question 13

nq^

Answer 13

failures expected in sample

Question 14

np0

Answer 14

successes observed

Question 15

nq0

Answer 15

failures observed

Question 16

Square root (p^q^/n)

Answer 16

Standard error of sample population

Question 17

Square root (p0q0/n)

Answer 17

Standard deviation of parameter in 1propZtest

Question 18

Z*square root(p^q^/n)

Answer 18

Margin of error for 1propZtest

Question 19

p^(+/-)Z*square root(p^q^/n)

Answer 19

1PropZInterval

Question 20

(p^-p0)/square root(p0q0/n)

Answer 20

Test statistic for Z distribution|Z value in 1PropZTest

Question 21

How do you find outliers in a set of data?

Answer 21

Lower: Q1-1.5IQR
Upper: Q3+1.5IQR
IQR=Q3-Q1

Question 22

What is the most important difference between an SRS and a stratified random sample?

Answer 22

SRS: every element of population has same probability of being drawn
Stratified random sample creates homogeneous groups, then takes SRS

Question 23

How do you tell the difference between an observational study and an experiment?

Answer 23

Observational study observes only- no treatment

Experiment imposes a treatment on subjects

Question 24

Formula to find the slope of the LSRL

Answer 24

slope^=r(Sy/Sx)

Question 25

Template answer to describe the slope of the LSRL in context

Answer 25

For every 1 unit increase in x-variable, y-variable is predicted to increase/decrease according to slope

Question 26

Template answer to describe the y-intercept of the LSRL in context

Answer 26

The predicted value of y (y^) when x-variable=0

Question 27

Template answer to describe what R2 is

Answer 27

The % of the variability of the dependent variable (y^) that can be explained by the LSRL relating x and y^.

Question 28

What are the Z-scores for 90%, 95%, 98%, and 99% confidence intervals?

Answer 28

90%: 1.645
95%: 1.96
98%: 2.326
99%: 2.576

Question 29

What is a type I and type II error?

Answer 29

Type I: rejecting the null when it’s true

Type II: failing to reject the null when it’s false

Question 30

What does the p-value mean in context?

Answer 30

The probability the observed statistic- or one more extreme- will happen by natural variation, if the null is true

Question 31

What is meant by the power of the test?

Answer 31

The probability of correctly rejecting the null hypothesis when it’s false

Question 32

What are the two most effective ways to increase the power of a test?

Answer 32

Increase sample size

Increase significance level (alpha)

Question 33

Formulas for ALL confidence intervals

Answer 33

statistic(+/-)critical value(standard deviation of statistic)

Question 34

Formulas to find the test statistic for ALL tests

Answer 34

(statistic-parameter)/standard deviation of statistic

Question 35

What is ALWAYS the null hypothesis for a matched pairs t test?

Answer 35

Mdiff=0

Question 36

What are the null hypotheses for the 3 different x2 tests?

Answer 36

GOF= H0: the sample data fit/match the population 
Independence= H0: the two variables are independent of one another
Homogeneity= H0: there is no difference in group proportions