Statistics Flashcards

(29 cards)

1
Q

Mean

A

Add all values together and divide by how many there are

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

Median

A

the middle value (average middle 2 if odd number of values

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

Mode

A

the most frequently observed value

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

Range

A

the range in values (maximum and minimum)

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

Standard deviation

A

estimate of the average variability (spread) of the data

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

95% confidence interval

A

the range of values around that statistics (so 95% of values will fit into between the range of values)

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

Standard error

A

Standarderrorthestandarddeviationofthesamplingdistributionofagiven statistics

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

P value

A

-the probability of falsely rejecting the null hypothesis
-The null hypothesis is that there is no difference
- P < 0.05 is described as significant.
- P < 0.05: Essentially if its less than 0.05%. Therefore, you are 99.95% sure there is a significant difference!

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

Normal distribution

A

• Important for quantitative data
• Ensures that data is representative of a “normal” population
• Helps determine how we present data
• Helps determine what statistical test we would use to analyse data

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

Tests for normal distribution

A

-Kolmogorov-Smirnov test Or Shapiro-Wilk test

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What does it mean if they value is significant

A

it indicates the sample is NOT normally distributed

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

Normal distribution on SPSS

A

-copy data into SPSS
-click analyse
-descriptive statistics then explore
-add variables into the dependent list
-click on plots with tests,histogram an then continue

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

Parametric

A

• If our data is normally distributed we choose “PARAMETRIC” tests

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

Non parametric

A

If our data is not-normally distributed we choose “NON-PARAMETRIC” tests

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

Type 1 error

A

Occurs when we believe that there is a genuine effect in our population, when in fact there isn’t

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

Type 2 error

A

Occurs when we believe there is no effect in the population, when there is

17
Q

Two tailed

A

= A test of a non-directional hypothesis, i.e. x may or may not predict y or x is maybe different from y

18
Q

One tailed

A

= A test of a directional hypothesis, i.e. x will predict y or x is different from y

19
Q

What is statistics

A

Collection,organisation,analysis,interpretation and presentation of data

20
Q

How to calcite mean.mode range on SPSS

A

-copy data into SPSS
-analyse, descriptive statistics ,explore
-click the arrow to add variables into the dependent list
-click statistics and press ok

21
Q

How to determine if ur data is paired(dependent) or unpaired(independent)

A

Compare participants in different group
>they are independent from each other,different people in each groups receiving different types of treatment

Compare participants in the same group
>they are dependent same people tested twice receiving the same treatment

Tip:if it has a control group it is independent

22
Q

T test(2 types depending on whether your data is independent or dependant)

A

-independent t-test= as your data is independent from each other eg different groups
-dependent t test=as your data is dependent on each other

23
Q

what type of data is t Test used for

24
Q

How do u determine if the data is parametric

A

Complete a Kolmogorov-Smirnov or Shapiro-wilk test to see if the p value is significant,if its not it means its normally distributed so its parametric

25
Levenes test for equality of variance
tests whether your groups are similar, i.e. do you have significantly more participants in one group than the other. If the p value for this is significant, choose the p value that corresponds
26
Degrees of freedom
Number of participants minus number of groups
27
T
T statistics measures the size of the difference relative to the variation in your sample data.The greater the magnitude of T,the greater the evidence against the null hypothesis
28
What does ANOVA tell u
That there is. A difference between groups
29
What doesn’t the ANOVA tell u
What group the difference is between is so we run a post-hoc tests which then compare each group to each other to work whether which Ines are different from each other