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

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 ______________

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).

23
Q

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

A

Mean > Median > Mode

24
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
True
25
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
True
26
Even when the population distributions do not have the same variance, it is okay to use ANOVA when
The sample size is the same in each category of the categorical variable
27
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
less than 0.05
28
Answer true or false: ANOVA can be used to compare the population means of multiple groups when the samples are not independent
False