Feqeuency distribtion

• What are the main forms of data distribution

  Normal and non-normal
• What are the features of a perfect normal distribution

  The mean, median and mode are equal.

  There are equal number of data points either side of the mean.
• What is the gaussian/parametric curve

  Normal
• What type of graph shows skewness

  A non-normal distribution
• What is the other name for right skewed data

  positive
• What type of skewness is shown in a graph where the tail points to the right

  Positive or right.
• What is the other name for negative skewness

  Left
• What type of skewness is shown when the tail points to the left

  Left or negative
• What type of skewness is shown by Number of people against income distribution

  Right or positive
• What type of skewness is shown by deaths against heart attacks

  Left or negative
• What is kurtosis

  A measure of how wide or narrow the tails are.

  The area under the tails represents the frequency of outliers.
• What type of kurtosis is shown by a normal distribution

  Mesokurtic
• What are the forms of kurtosis

  Platykurtic, mesokurtic, lepokurtic.
• What is a thin tailed kurtosis called

  Platykurtic
• What form of kurtosis has a low frequency

  Platykurtic
• What form of kurtosis is low

  Platykurtic
• What is kurtosis of <3

  This is low and called platykurtic.
• What form of kurtosis is shown by a uniform graph

  Platykurtic
• What form of kurtosis is medium talied

  Mesokurtic
• What type of outlier frequency does mesokurtic have [name and number]

  Moderate which is 3.
• What type of kurtiss has negative excess

  Platykurtic
• What type of kurtosis has no excess

  Mesokurtic
• What type of kurtosis is fat tailed

  Lepokurtic
• What type of kurtosis has a high outlier frequency

  Lepokurtic
• What type of kurtosis is high

  Lepokurtic
• What is high kurtosis [range]

  > 3
• What is positive kurtosis 


  Lepokurtic
• What kurtosis is shown on a laplace graph

  lepokurtic
• What is the value of central tendency in a true normal distribution

  0
• What are Z-scores

  This is the number of standard deviations that an observation is away from the mean
• What does a Z score of 1 mean

  The observation is 1 standard deviation above the mean.
• What does a Z-score of -1 mean

  The population is 1 standard deviation below the mean.
• What equation is this

  This calculates Z-scores for a population.

  
• Z-score for a population equation [USe words such as X bar or Mu]


  ( X - Mu ) / Sigma
• Z-score for a sample equation [USe words such as X bar or Mu]

  ( X - X bar ) / S
• What equation is this

  Sample Z score

  
• How are Z-scores used

  To standardises differences across distributions.