Chapter 12 Flashcards

1
Q

What method and statistic is used when testing the equality of three or more population means?

A

The analysis of variance (ANOVA) technique and F statistic

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2
Q

What are the three assumptions for the ANOVA technique

A
  1. Populations follow normal distributions
  2. Standard deviations are equal
  3. Populations are independent
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3
Q

Why is ANOVA used instead of testing two populations at a time

A

build up of type 1 errors

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4
Q

ANOVA term for differing populations being observed

A

Treatment

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5
Q

The sum of the squared differences between each observation and the overall mean

A

Total variation

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6
Q

The sum of the squared differences between each treatment mean and the grand or overall mean

A

Treatment variation

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7
Q

The sum of the squared differences between each observation and its treatment mean

A

Random Variation

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8
Q

For the ANOVA test, how do we determine the degrees of freedom

A

For the numerator: Number of treatments (k), -1
For the denominator: Observations (n) -number of treatments.

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9
Q

What is the benefit of considering other factors of variation

A

we can reduce the error variance

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10
Q

A second treatment variable that when included in the ANOVA analysis will have the effect of reducing the SSE term

A

Blocking Variable

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11
Q

The effect of one factor on a response variable differs depending on the value of another factor

A

Interaction Effect

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12
Q

A graph that shows the interaction of two variables

A

Interaction plot

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13
Q

Blocker variables and treatment variables are called what when testing for interaction

A

Factors

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14
Q

The outcome variable is called what when testing for interaction

A

Response

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15
Q

If a blocking variable seems likely to be of the same importance as the treatment variable, what term is used to describe the ANOVA analysis

A

Two-factor experiment

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16
Q
A