Frequency distribution Flashcards

1
Q

Descriptive statistics

A

A collection of methods for classifying and summarising the data

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2
Q

Two main types of descriptive statistics

A
  • Measure of central tendency

- Measure of variability

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3
Q

Frequency distribution

A

A count of the number of occurrences of each different value in the data set

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4
Q

To make a frequency distribution…

A
  1. Count the number of occurrences (frequency) of each value of the DV
  2. Make the graph
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5
Q

what do we do with a wide range of values?

A

Group the data into clusters that form a class interval

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6
Q

What does a class interval do?

A

Gives you a way of partitioning the data into meaningful categories to be bale to make sense of it

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7
Q

Tips for selecting class interval width -

A
  • Choose width such that 10-20 intervals will cover the range of values
  • If possible, choose an odd number interval width
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8
Q

Continuous variables…

A

Can take on any value on the measurement scale

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9
Q

What is an exact limit

A

1/2 unit below and 1/2 unit above the values of the class interval

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10
Q

Data curves - frequency polygon

A
Y-axis - frequency - the frequency of a certain value in your data 
X-axis - mark of the axis with values corresponding to the midpoint of the class interval
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11
Q

Three shapes of frequency distributions -

A
  1. Uniform or rectangle
  2. Skewed distribution
  3. Symmetric distribution (normal distribution)
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12
Q

Uniform or rectangle distribution -

A

evenly distributed throughout the distribution

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13
Q

Skewed distribution -

A
  • lots of scores at one end and relatively few at the other end
  • can be positive or negative
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14
Q

Symmetric/normal distribution -

A

Two halves of the graph are the same. clumped in the middle with fewer on the outside

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