Stats 101 Exam Short Answers Flashcards

1
Q

What are the 3 Assumptions for Two Independent Sample T-Procedures?

A

Observations from within same group and between groups are independent, underlying distributions are normal.

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2
Q

What are the 2 Forms of the Two Independent Sample T-Test?

A

Pooled and non-pooled forms.

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3
Q

What is the Pooled Form of the Two Independent Sample T-Test?

A

Carries the assumption of equal standard deviations.

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4
Q

What is the Non-Pooled Form of the Two Independent Sample T-Test?

A

Doesn’t carry the assumption of equal standard deviations.

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5
Q

What are the 2 Assumptions for One Sample T-Procedures?

A

Observations are independent of each other, underlying distribution is normal.

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6
Q

What Happens for One Sample T-Tests if the Sample Size is Large?

A

We don’t need the normality assumption.

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7
Q

How do we Calculate the F-Test Statistic?

A

Divide variability between group means by the variability within the groups.

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8
Q

What are the 4 Assumptions for One-Way ANOVA F-Tests?

A

Observations from within groups are independent, groups are independent, underlying distributions are normal, standard deviations are equal.

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9
Q

How do we Check Standard Deviations are Equal?

A

Largest se / smallest se should be < 2.

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10
Q

How do we Calculate the Chi-Square Test Statistic?

A

(Observed count - expected count)^2 / expected count for each cell added together.

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11
Q

What are the Two Requirements for the Chi-Square Test Statistic?

A

At least 80% of the expected counts must be 5 or more, each expected count must be greater than 1.

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12
Q

What is B0?

A

The y-intercept.

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13
Q

What is B1?

A

The slope of the line (infront of the x).

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14
Q

What does r Measure?

A

The strength and direction of the linear association between two numeric variables, how close the points come to lying on a straight line.

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15
Q

Does r Have Units?

A

No.

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16
Q

What is r?

A

Sample correlation coefficient.

17
Q

What can the Values of r be?

A

-1 to 1.

18
Q

What is Linearity?

A

The relationship between x and the mean value of Y at X = x is linear.

19
Q

What is Normality?

A

The random errors are normally distributed with mean zero.

20
Q

What is Constant Spread?

A

The random errors all have the same standard deviation regardless of the value of x.

21
Q

What is Independence?

A

The random errors are all independent.