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1

Type 1 Error

Rejecting the Null Hypothesis when it was true

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2

When is a poisson distribution used?

When the number of trials is large and the chance of success is small

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3

Type II Error

Failing to reject the null hypothesis when it was false

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4

Non-Constant Error Variance

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5

Non-Independent Errors

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6

Non-Linear Residual Plot

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7

Not Normally Distributed

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8

Coefficient of Determination r^2

The proportion of y variability accounted/explained by x

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9

Correlation Coefficient r

Linear correlation between x and y, direction of the relationship between two variables

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10

Central Limit Theorem

As the number of random variables being averaged increases the distribution of the average will approach a normal distribution. As Sample size increases the standard deviation decreases

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11

Vertical Bar chart of frequencies

Histogram

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12

Line Graph of Frequencies

Frequency Polygon

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13

Line graph of cumulative frequencies

Ogive

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14

Bar & Line with bars in descending order and line showing cumulative total for each category

Pareto Chart

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