Module 2 Flashcards

1
Q

What is a normal frequency distribution

A

Mean. median and mode are all in the same

Curve is symmetric around the mean not skewed to one side

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Negatively Skewed distribution

A

Mode occurs at the peak
Mean and median pulled to the left
tail to the left

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Positively skewed distribution

A

Mode at center of curve

Mean and median are pulled to the right towards more positive numbers

tail to he right

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Curtosis

A

leptokurtic points
mesokurtic - normal
platykurtic - flat peak

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What does an increase in standard deviation do to a distribution or curve

A

it flattens the curve out or pulls the curve outward

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Where does 68% of data fall in normal distribution

A

within + or - 1 standard deviation of the mean

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Where do 95% of scores occur within a normal distribution

A

+ or - 2 standard deviations from the mean

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Where do 99% of data fall within a normal distribution

A

within + or - 3 standard deviations from the mean

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What is a z score and how do you calculate it?

A

compares the mean of a sample with the population mean

Also a way to identify outliers if they are 3 or greater standard deviations

Z = (individual score - mean) / SD

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

How do you perform a hypothesis test

A
  1. Develop a null and research hypothesis
  2. Choose a level of significance
  3. Determine which statistical test is appropriate
  4. Run analysis to obtain test statistic and p value
  5. reject or fail to reject the null hypothesis
  6. Make a conclusion
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Hypothesis

A

statements that predict the relationship between variables

they are testable and translate the research question into a prediction

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Null hypothesis

A

There is no relationship

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Research hypothesis can be two things

A

directional or non-directional

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

directional vs non-directional

A

you think something is going to go in one direction
one tailed test
non-directional - you don’t know which direction so you would run a two tailed test

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Level of significance

A

How much error you are okay with

percent of time you say there will be a statistical signifcance but there in fact is not
p = 0.05
5% time you make a type I error

can raise or lower if you want to be conservative or not

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Type I error

A

probability of concluding that there is a difference in groups when there is not

17
Q

Type II error

A

probability of concluding that there is no difference between groups or no relationship between variable when there truly is

Probability of accepting a null hypothesis when it is not true

18
Q

What does which statistical test you choose depend on

A

number of variables
levels of measurement (nominal, ordinal, interval, ratio)
assumptions of statistical test

19
Q

P value

A

probability that the difference, or one larger, could arise by chance

Probability of seeing this outcome by just chance
to reject null hypothesis your p value needs to be lower that the statistical significance score you set 0.05

20
Q

If calculated p value is bigger than level of significance

A

fail to reject null hypothesis or ACCEPT

21
Q

calculated p value is smaller than level of significance you set

A

reject the null hypothesis and accept the research hypothesis

22
Q

T test for independent groups when would you use

A

When you are comparing the means of two independent groups

Groups have to be unrelated to each other

23
Q

T test for independent groups assumptions

A

Independence
Normality
Homogeneity of variances
dependent variables must be interval or ratio (comparing means)

24
Q

How do you determine homogeneity of variances?

A

By doing a Levene’s test for equality of variances

25
Q

What should read out be for Levine’s test for equality of variances be

A

Sig (p value) should be greater than 0.05
Must use equal variances assumed row in

26
Q

How do you report t test output in SPSS

A
27
Q

How do you write out T test results

A