oneway anova Flashcards

1
Q

What are independent variables?

A

variables that are explicitly manipulated

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2
Q

What are dependent variables?

A

Variables that are our data (ie. FA, HR)

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3
Q

What is the population?

A

All the data we can observe

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4
Q

What is Random Sampling?

A

A subset of the population, hopefully representative of the population as a whole

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5
Q

What is Standard Deviation?

A

A measure of variance

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6
Q

How do you calculate the variance?

A

SD^2

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7
Q

What is a Normal Distribution (aka Gaussian Distribution)?

A

The sum of all variables. Has a mean which falls at the highest peak. The variance determines how spread out a distribution is.

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8
Q

What is bimodality?

A

A distribution that has 2 peaks

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9
Q

What does within-groups mean?

A

Chance variation

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10
Q

What does between groups mean?

A

Chance variation and another effect

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11
Q

What is a One-way ANOVA?

A

A comparison of variation within-groups to variation between groups. Tells us if there is a significant difference among groups but not where that difference is. Produces an F-statistic which produces a p-value.

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12
Q

What does a large F-Stat tell us?

A

There is evidence that the difference is reliable

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13
Q

What are the Degrees of Freedom for a One way ANOVA?

A

2

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14
Q

What is an F-Distribution?

A

Allows us to find the probability of observing an F-Stat with a specific value. The F-Statistic is assessed against the F-Distribution

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15
Q

Why do we need Post Hoc Tests?

A
  • the t-test is probably not enough

- require multiple comparisons

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16
Q

What is the Bonferroni test?

A

It automatically adjusts the p-value to correct for the number of comparisons. Creates a more conservative false alarm rate.

17
Q

What is Apophenia?

A

The experience of seeing meaningful patterns in random or meaningless data

18
Q

Because of the central limit theorem, many of the variables that we study in psychology are normally distributed. What best describes the normal distribution?

A

A distribution which has its mode at some value and decreases as you move away from that value in both directions

19
Q

Which 2 parameters describe the normal distribution?

A

Mean & Variance

20
Q

What does the p-value tell us in a one-way ANOVA?

A

The p-value tells us the probability of observing our sample of data given that the null hypothesis of no difference between groups is true

21
Q

If there is a systematic effect of our manipulation on the observed data then:

A
  • The between groups variation will be larger than the within-groups variation
  • The F-ratio will be sufficiently large
  • The means of our conditions will be different
22
Q

What is one reason why you might conduct post-hoc analyses after running an ANOVA?

A

The ANOVA tells that there is an effect but not where the effect is (ie. between which groups) or the size of the effect