Presentation of quantitative data + Maths skills Flashcards

1
Q

What does a bar chart represent?

A
  • Type of graph in which the frequency of each variable is represented by the height of the bars
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2
Q

When should bar charts be used?

A
  • data is divided into categories (discrete data)
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3
Q

How should data on bar charts be plotted?

A
  • categories should occupy the x-axis
  • the frequency/amount of each category plotted on the y-axis
  • bars should be separated to denote that we are dealing with separate conditions ( categories not continuous)
  • always have a title, label columns & axis
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4
Q

What does a histogram represent?

A
  • A type of graph which shows frequency, the area of the bars (not just height) represent frequency
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5
Q

When should histograms be used?

A
  • when data is continuous e.g. scores, age
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6
Q

How should data on histograms be plotted?

A
  • x-axis must start at 0
  • x axis is made of equal sized intervals of a single category
  • y axis represents the frequency within each interval
  • if there is a zero frequency for one of the intervals, interval remains the same with no bar
  • always have a title, label columns & axis
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7
Q

What type of data is represented on a scatter graph?

A
  • represents the strength & direction of the relationship between co-variables in a correlational analysis
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8
Q

How should data be plotted on a scatter graph?

A
  • co-variables can occupy either axis
  • always have a title, label columns & axis
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9
Q

What does a normal distribution represent?

A
  • A symmetrical spread of frequency data that forms a bell shaped pattern
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10
Q

Characteristics of a normal distribution

A
  • most items are located in the middle area of the curve (very few at extreme ends)
  • the mean, mode & median all occupy the same midpoint of the
    curve, highest peak (same/similar)
  • tails of the curve never touch the x-axis (never reach zero)
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11
Q

What is a skewed distribution?

A
  • spread of frequency data that is not symmetrical, data clusters to one end
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12
Q

What is a posiitve skew?

A
  • a type of frequency distribution in which the long tail is on the positive (right) side of the peak & most of the distribution is concentrated on the left
  • produced when scores are mostly low
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13
Q

How are the measures of central tendency affected by a positive skew?

A
  • The mode remains at the highest point of the peak
  • median next
  • mean is dragged towards tail to the right (extreme scores affect the mean)
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14
Q

What is a negative skew?

A
  • a type of frequency distribution in which the long tail is on the negative (left) side of the peak and most of the distribution is concentrated on the right
  • produced when scores are mostly high
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15
Q

How are the measures of central tendency affected by a negative skew?

A
  • mode is at the highest peak
  • median next
  • mean pulled to towards tail left of peak (due to lower scores)
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16
Q

How to work out a percentage of something?

A
  • value over total number x100
17
Q

How to convert a percentage to a decimal?

A
  • divide by 100
18
Q

converting a decimal to a fraction

A
  • the number of decimal places equals the number of zeros it is over
    e.g.0.81 has 2 d.p.
    >8 1/100
19
Q

formula for standard form

A

(number between 1 an 10) x 10 ^ (to the power of x)

20
Q

What is a sign test?

A
  • a statistical test used to analyse the difference in scores related items
  • data should be nominal
21
Q

To use the sign test what should occur

A
  • need to be looking for a difference
  • need to have a repeated measures design
  • need date that is organised into categories (nominal data)
22
Q

What is the accepted level of significance in psychology?

A

0.05 = 5%
= level at which researchers decides that the findings are significant (meaningful) & will reject the null hypothesis and accept the alternative hypothesis

23
Q

Steps for the sign test to work out calculated value

A
  • work out difference between categories
  • if answer is positive record + sign
    if answer is negative record - sign
  • ignore if their is the same result in both categories & adjust total number of N
  • add number of pluses and minuses
  • take the less frequent sign & call s = calculated value
24
Q

What information is needed to locate critical value on a table?

A
  • significance level (generally 0.05 or 5% unless said otherwise)
  • the number of p’s in investigation (N value or sometimes degrees of freedom df)
  • whether the hypothesis is directional (one-tailed) or non-directional (two tail)
25
Q

For results to be significant what does calculated value need to be?

A
  • calculated value has to be EQUAL to or LOWER than the critical value for the results to be significant