Lecture 5 Flashcards

1
Q

What can frequency distributions be linked to?

A

Probability

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2
Q

How do you calculate relative frequency/ probability in frequency distributions?

A

Frequency/ N

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3
Q

Define skewness in terms of distribution

A

Deviation from symmetry. If data is skewed, the median is larger than the mean, if its not, than the mean is bigger than the median.

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4
Q

How can you reduce skewness?

A

transformations

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5
Q

Define modality in terms of distibution

A

Number of major peaks in a distribution - unimodal/ bimodal

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6
Q

Define kurtosis in terms of distribution

A

Peakedness of distribution - steepness. Either platykurtic, mesokurtic or Leptokurtic

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7
Q

What is platykurtic distribution?

A

Shallow, long distribution

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8
Q

What is mesokurtic distribution?

A

Normal distribution

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9
Q

What is leptokurtic distribution?

A

Very steep and narrow distribution

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10
Q

What are the key features of normal distribution?

A
  • Asymptotic - Lines dont touch axis
  • Symmetrical around the mean
  • mean = median
  • More observations close to the mean, fewer the further out you go
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11
Q

What does asymptotic mean?

A

Lines dont touch axis

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12
Q

What is a Z score

A

A standardised score, regardless of measurement variable that reflects the number of SD’s an observation is away from the mean.

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13
Q

How do you calculate the z-score

A

(obersvation-mean) - SD

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14
Q

What does a postive and negative z-score represent?

A

Positive score is above mean, negative is below the mean

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15
Q

What does that area under a probability density curve always equal?

A

1

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16
Q

What are the two ways normality can be assessed

A
  • By assessing skewness and Kurtosis

- By using specific statistical tests

17
Q

What are the names of the statistical tests that can be used to calculate normality?

A
  • Shapiro wilk

- Kolmogorov-Smirnov test

18
Q

How do you assess normality on SPSS?

A

Analyse - Descriptive statistics - Explore - plots - check normality plots with tests