Desciptive Statistics Flashcards

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1
Q

What are the 2 descriptive statistics

A

Measure of central tendency - to see how measurement can be described with the central point
Measure of dispersion - to see how our values disperse away from central tendency

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2
Q

Define:

  • Histograms
  • Bar chart
  • Pie chart
A

Histograms = graphs that show how frequently scores appear in a set
Bar chart = graphs that show the frequency of a particular variable
Pie chart = shows how a variable divides up proportionately

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3
Q

Define correlation co-efficient

A

Measures the strength of the correlation between 2 variables

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4
Q

Define dispersions

A

Measures how well spread a set of scores is

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5
Q

Define:

  • Mean
  • Mode
  • Range
  • Median
A
Mean = average 
Mode = most frequent
Range = difference between lowest and highest 
Median = middle score
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6
Q

Define raw data

A

Research results that haven’t had descriptive or inferential statistics applied to them

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7
Q

Define:

  • Sampling errors

- Sampling distribution

A

Sampling error = happens when sample scores are unrepresentative of a population’s score
Sampling distribution = assymetical distribution

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8
Q

Define standard deviation

A

The average by which each score in a set differs from the mean

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9
Q

Define z score

A
  • Measure how many standard deviations a score lies above or below
  • Can be used to find out exactly how many people scored the same/less/more that a particular participant
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10
Q

Define:

  • Normal distribution

- Skewed distribution

A
Normal = distribution that has a symmetrical shape on a graph; median, mode, mean are alls same
Skewed = distribution that is lop-sided on graph
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11
Q

Define:

  • Descriptive statistics

- Inferential statistics

A
Descriptive = summarises data, makes data easier to understand
Inferential = helps us decide how probable it is that our data is down to chance, helps us decide if results are significant
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