Week 3 Flashcards

1
Q

Statistics

A

Descriptive data from a sample

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

Parameters

A

A samples corresponding values in the wider populations

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

Sampling Error

A

The random variability in a statistic from sample to sample

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

2 ways that a statistical relationship in a sample can be measured

A
  • There is a relationship in the population and the relationship in the sample reflects this
  • There is no relationship in the population and the relationship in the sample only represents sampling error
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Null hypothesis testing

A

Formal approach to deciding between interpretations of a sample

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

Null Hypothesis

A
  • No relationship in the population and the relationship in the sample is sampling error
  • Chance relationship
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Alternative Hypothesis

A
  • There is a relationship in the population and the relationship in the sample reflects this
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Reject the Ho

A

-A decision made by researchers using null hypothesis testing which occurs when the sample relationship would be extremely unlikely
- Researches always assume that the Ho is true

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

Retain the Ho

A

A decision made by researchers in null hypothesis testing which occurs when the sample relationship would not be extremely unlikely

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

P Value

A

The probability of the sample result/ a more extreme result if the null hypothesis were true

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

High P value

A

Sample/ more extreme result would be likely if the Ho were true and leads to the retention of the Ho

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

Low P Value

A

Sample/ more extreme result would be unlikely if the Ho were true and leads to the retention of the Ho

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

Alpha

A

-The criterion that shows how low a p value should be before the sample result is considered unlikely enough to reject the ho
- Usually set to 0.05

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

Statistically Significant

A
  • An effect that is unlikely due to random chance and therefore likely represents a real effect in the population
  • 5% chance or less; Ho rejected
  • More than 5% chance; Ho is retained
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Role of sample size and relationship strength

A
  • The stronger the relationship, the lower the p value
  • The larger the sample size, the lower the p value
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Practical/ Clinical significance

A
  • The importance/ usefulness of a result in the real world context
17
Q

Descriptive Statistics

A

Describes a typical response/ behaviour of a group as a whole

18
Q

Central Tendency

A

Indicators of the type of data that we can expect from the group as a whole

19
Q

Measures of central tendency

A
  • Mean
    -Mode
    -Median
20
Q

Mean

A

-Add all values and divide by number of values
- May not be viable if you have an outlier

21
Q

Mode

A
  • most common
22
Q

Median

A

Middle value when all the values are arranged in numerical order

23
Q

Dispersion

A

The variability or consistency in a set of data

24
Q

Measures of Dispersion

A

Range
Variance
Standard Deviation

25
Range
-Calculated by finding the difference between the lowest and highest values in a set of data - Tells us nothing about the data in between
26
Variance
- The mean of the squared difference between each of the values and the mean
27
Types of Variance
- Sample Variance -Population Variance
28
Standard Deviation
- Square root of variance - Measure of how far on average individual scores fall from the mean of a set of scores
29
Measure of centre and spread for nominal data
- Mode - Number of categories containing values
30
Measure of centre and spread for ordinal data
- Median - Interquartile Range
31
Measure of centre and spread for interval data
- Mean - Standard Deviation
32
Measure of centre and spread for ratio data
- Mean - Standard Deviation
33
Confidence Intervals
-Give a range of values that may be plausible estimates of the population parameter -Can be calculated with different levels of confidence - The standard level is 95%