Topic 3 Flashcards

1
Q

What is descriptive statistics?

A

Collection of methods for CLASSIFYING and SUMMARISING data

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2
Q

What are the two main types of descriptive statistics?

A
  1. Measures of central tendency

2. Measures of validity

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3
Q

What are frequency distributions?

A

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

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4
Q

How do you make a frequency distribution?

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

X axis -> values of DV
Y axis -> frequency

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5
Q

What kind of value range is a frequency distribution good for?

A

A narrow value range

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6
Q

What kind of value range is a Class interval good for?

A

Used for wide value ranges

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7
Q

Describe a Class Interval scale

A
  • The width of the interval is the number of values the in the interval
  • Should choose widths like 10-20 intervals
  • Choose odd number interval width
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8
Q

Why should a class interval have an odd numbered interval?

A

Allows the midpoint to be a whole number

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9
Q

What is a midpoint?

A

The point halfway through the interval

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10
Q

What limits are best to use for continuous variables?

A

Exact limits

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11
Q

Describe exact limits

A

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

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12
Q

How would you calculate the midpoint when using exact limits?

A

Lower exact limit + 1/2 class interval width

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13
Q

What are the axes for a frequency polygon and histograms?

A

X axis = mark axis with values corresponding to Class Interval midpoint
Y axis = frequency

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14
Q

In a histogram would you put space between the bars for continuous data?

A

No

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15
Q

Describe uniform/rectangular distribution shape

A

Evenly distributed throughout

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16
Q

Describe skewed distribution shape

A

Lots of scores at one end and relatively few at other end

Can be positive or negative

17
Q

Of which end of the distribution would positively skewed data be?

A

Left

18
Q

Of which end of the distribution would negatively skewed data be?

A

Right

19
Q

Describe normal distribution

A
  • Symmetric distribution

- Many scores in the middle, progressively fewer at either end