Test 2

Question 1

A normal distribution is _metrical, _modal, and the mean, median and mode are _.

Answer 1

SYMmetrical, UNImodal, and the mean, median and mode are EQUAL.

Question 2

The total area under the standard normal distribution curve is = _?

Answer 2

1

Question 3

What is the z score?

Answer 3

The Z score is the number of standard deviations from the mean

Question 4

Sigma signifies…?

Answer 4

Standard deviation of a population

Question 5

Miu signifies…?

Answer 5

Mean of a population

Question 6

What percentages of scores lies between -1 and 1 SD in a normal distribution?

Answer 6

68%

Question 7

What percentages of scores lies between -2 and 2 SD in a normal distribution?

Answer 7

95%

Question 8

What percentages of scores lies between -3 and 3 SD in a normal distribution?

Answer 8

99%

Question 9

What percentages of scores lies in the tails in a normal distribution?

Answer 9

0.5%

Question 10

The probability is the…?

Answer 10

The probability is the area under the curve.

Question 11

In the Z-score formula, what does X represent?

Answer 11

X represents the value to be converted.

Question 12

Percentile rank is based on…

Answer 12

The proportion / Z-score.

Question 13

What is the objective of quantitative sampling?

Answer 13

The objective is to get a lot of information with little cost by using a representative sample. To get the probability

Question 14

In a quantitative sampling, the sample that is not representative of the population is called…?

Answer 14

The sampling error.

Question 15

Two examples of quantitative sampling are…?

Answer 15

Simple random sampling and stratified random sampling

Question 16

In stratified random sampling, the subpopulations are also called…?

Answer 16

Strata

Question 17

In proportionate stratified random sampling, subpopulations are based to reflect…?

Answer 17

Reflect the proportions in the population

Question 18

In disproportionate stratified random sampling, subpopulations….?

Answer 18

Compare to an extreme minority.

Question 19

A small population of under 1000 has a __ sampling ratio of about __%

Answer 19

Larger sampling ratio of about 30%

Question 20

A moderately large population of about 10,000 has a __ sampling ratio of about __%

Answer 20

Small sampling ratio of about 10%

Question 21

A large population of over 150,000 has a __ sampling ratio of _%

Answer 21

Very small sampling ratio of 1%

Question 22

A very large population of over 10 million has a __ sampling ratio of about __%

Answer 22

Tiny sampling ratio of about .025%

Question 23

An inference is a?

Answer 23

An inference is a theory.

Question 24

Confidence intervals are presented as a _?

Answer 24

Presented as a range

Question 25

In a t-distribution, the shape is more _-shaped?

Answer 25

Dome-shaped (as opposed to bell-shaped)

Question 26

How is the degree of freedom (df) calculated for t-distribution?

Answer 26

n-1

Question 27

Rounding in t-distribution is up or down?

Answer 27

Round down

Question 28

How are confidence interval problems' solutions presented?

Answer 28

The solutions are presented with a range and a full sentence to interpret.

Question 29

Hypothesis testing is _ testing.

Answer 29

Significance testing.

Question 30

The null hypothesis is the...?

Answer 30

The null (H0) hypothesis is the currently accepted hypothesis.

Question 31

The research hypothesis is the...

Answer 31

The research hypothesis (Ha) is the new hypothesis that we want to test.

Question 32

What are the steps in the Five-Step Model?

Answer 32

1) Identify 2) 1 or 2 tailed + H0&Ha 3) State sampling distribution & critical values 4) Identify formula & test statistic(s) 5) Interpret

Question 33

A one-sample Z-test is used when...?

Answer 33

A one-sample Z-test is used when we want to compare population to sample.

Question 34

When it's a 2-tailed test, we must give _# t-__.

Answer 34

In a 2-tailed test, we must give 2 t-criticals.

Question 35

In a 2 sample t-test, how is the degree of freedom (df) determined?

Answer 35

df= (n1+n2)-2

Question 36

The chi square is a test of...

Answer 36

The chi square is a test of significance based on crosstabulation tables

Question 37

In chi square, O means _ and E means _.

Answer 37

O means "observed" and E means "expected".

Question 38

The degree of freedom for chi square is:

Answer 38

df= (i-1)(j-1)

Question 39

E is calculated using:

Answer 39

E= (row total X column total)/total # surveyed

Question 40

Chi square tests are always _-tailed

Answer 40

Chi square tests are always ONE-tailed

Question 41

In chi square, H0 is the variables are __ and Ha is the variables are __.

Answer 41

H0 is the variables are independent and Ha is the variables are dependent (there is a significant relationship).

Question 42

Correlation can only be used with ___ and ___ data.

Answer 42

Ordinal treated as interval and interval.

Question 43

Testing correlation is always _-tailed

Answer 43

Testing correlation is always TWO-tailed

Question 44

What is the degree of freedom for Pearson's r?

Answer 44

df = n-2

Question 45

What are the strengths or correlation?

Answer 45

0. 00-0.29: weak 0. 30-0.59: moderate 0. 60-1.00: strong

Question 46

To draw a regression line, what 2 points are necessary?

Answer 46

The Y-intercept and the intersection of the means are necessary to draw a regression line.

Question 47

How is the coefficient or determination/non-determination answered?

Answer 47

"_% of the variance in the (y) is explained/explained by something other than by the (x)."