Practice Quiz-Lecture 7 Flashcards

1
Q

In the car example, the variable tire brand can be summarized using

A

Frequency or relative frequency

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1
Q

Suppose the mean, median and mode of the mileage of cars using Apollo tires are 34,799 miles, 34,763 miles and 34,774 miles, respectively. What might be a plausible distribution for mileage

A

normal

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2
Q

We can visualize the sample distribution of car mileage using a

A

histogram

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3
Q

In a sample of 15 cars using Apollo tires, the average mileage was 34,799 miles. This average is an estimate of

A

the population mean of car mileage with Apollo tires

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4
Q

To compare average mileage of Apollo versus Bridgestone tires using 15 cars using Apollo tires and 15 using Bridgestone tires with mileage having a right skewed distribution, we can use a

A

None of the above

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5
Q

When testing whether the average mileage of cars using Apollo tires is equal to 35,000 miles using a sample of 15 cars, the sampling distribution of the test statistic is

A

t with 14 degrees of freedom

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6
Q

When testing 7 null versus alternative hypotheses, family wise error rate is

A

Probability of rejecting at least one null hypothesis when all of them are true

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7
Q

Answer true or false: Analysis of variance is an extension of paired t test

A

False

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8
Q

Answer true or false: Analysis of variance is an extension of two-group t test

A

True

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9
Q

Answer true or false: Analysis of variance tests the hypothesis that the means of a sample are the same across multiple categories of a categorical variable

A

False
-Correct: It compares the mean of a population, not sample

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10
Q

When the categorical variable has just two categories, an Analysis of variance that compares the population means of a continuous variable between the two categories is equivalent to

A

Two group t test with the assumption of equal population variances

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11
Q

Answer true or false: Total variation is the variance of the continuous variable of all the samples, regardless of which categories they fall into

A

True

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12
Q

Analysis of variance partitions total variance into

A

Variation explained by the categorical explanatory variable and variance not explained by the explanatory variable

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13
Q

Answer true or false: Between group variation characterizes the distance between population means

A

True

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14
Q

Answer true or false: Within group variation characterizes the variance of the continuous variable within each category of the explanatory variable

A

True

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15
Q

Answer true or false: When the distance between means is larger than within group variation, we are likely to reject the null hypothesis that all the population means are the same

A

True

16
Q

Sum of squares between groups represents

A

Distance between group-specific means and the overall mean of the continuous response

17
Q

Sum of squares within groups represents

A

Variance of the continuous response within each group

18
Q

The between group variation or mean square between is

A

Sum of squares between groups divided by the number of groups minus 1

19
Q

The test statistic under analysis of variance is given by

A

F = mean square between divided by mean square within

20
Q

The sampling distribution of the F statistic when there are C groups and N samples is

A

F distribution with C-1, N-C degrees of freedom

21
Q

When conducting an analysis of variance with 5 groups and 20 individuals per group, the degrees of freedom for between sum of squares is ______________

A

4

22
Q

When conducting an analysis of variance with 5 groups and 20 individuals per group, the degrees of freedom for within sum of squares is ___________ (give a number, not the notation or formula).

A

95

23
Q

Which of the following correctly represents the property of the F distribution

A

Mean > Median > Mode

24
Q

Answer true or false: The continuous response is assumed to have a normal distribution when analyzing data with ANOVA. However, ANOVA is robust to (i.e., ANOVA is not affected by) failure of this assumption

A

True

25
Q

Answer true or false: The population distributions of the continuous response in each category of the categorical variable are assumed to have the same variance

A

True

26
Q

Even when the population distributions do not have the same variance, it is okay to use ANOVA when

A

The sample size is the same in each category of the categorical variable

27
Q

When conducting 6 hypothesis tests by controlling the family wise error rate at 0.05 level, the type I error of each test will be

A

less than 0.05

28
Q

Answer true or false: ANOVA can be used to compare the population means of multiple groups when the samples are not independent

A

False