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Business Statistics II > Exam #2 > Flashcards

Exam #2 Flashcards

1
Q

Name the 8 types of hypothesis tests studied in this unit.

A
  1. Difference Between 2 Population Means: σ1 and σ2 Known
  2. Difference Between 2 Population Means: σ1 and σ2 Unknown
  3. Difference Between 2 Population Means: Matched Samples
  4. Difference Between 2 Population Proportions
  5. Difference Between 3 or More Population Means
  6. Difference Between 3 or More Population Proportions
  7. Independence Test
  8. Goodness of Fit Test
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2
Q

Name the 2 types of multiple comparison procedures studied in this unit.

A

Marascuilo Procedure

Fisher’s LSD

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3
Q

Which multiple comparison procedure is used to determine which of 3 or more population proportions differ significantly from the others.

A

Marascuilo Procedure

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4
Q

Which multiple comparison procedure is used to determine which of 3 or more population means differ significantly from the others.

A

Fisher’s LSD

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5
Q

Which test is used to make inferences about the difference between 2 population means when σ1 and σ2 are known?

Z-Test
T-Test
Chi-Square Test
ANOVA

A

Z-Test

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6
Q

Which test is used to make inferences about the difference between 2 population means when σ1 and σ2 are unknown?

Z-Test
T-Test
Chi-Square Test
ANOVA

A

T-Test

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7
Q

Which test is used to make inferences about the difference between 2 population means for matched samples?

Z-Test
T-Test
Chi-Square Test
ANOVA

A

T-Test

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8
Q

Which test is used to make inferences about the difference between 2 population proportions?

Z-Test
T-Test
Chi-Square Test
ANOVA

A

Z-Test

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9
Q

Which test is used to make inferences about the difference between 3 or more population proportions?

Z-Test
T-Test
Chi-Square Test
ANOVA

A

Chi-Square Test

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10
Q

Which test is used to for the test of independence?

Z-Test
T-Test
Chi-Square Test
ANOVA

A

Chi-Square Test

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11
Q

Which test is used to for the goodness of fit test?

Z-Test
T-Test
Chi-Square Test
ANOVA

A

Chi-Square Test

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12
Q

Which test is used to make inferences about the difference between 3 or more population means?

Z-Test
T-Test
Chi-Square Test
ANOVA

A

ANOVA

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13
Q

Samples selected from two populations in such a way that the elements making up one sample are chosen independently of the elements making up the other sample.

A

Independent Simple Random Samples

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14
Q

Samples in which each data value of one sample is matched with a corresponding data value of the other sample.

A

Matched Samples

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15
Q

An estimator of a population proportion obtained by computing a weighted average of the point estimators obtained from two independent samples.

A

Pooled Estimator of P

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16
Q

A probability distribution where each outcome belongs to one of three or more categories.

A

Multinomial Probability Distribution

17
Q

A table used to summarize the analysis of variance computations and results. It contains columns showing the source of variation, the sum of squares, the degrees of freedom, the mean square, and the F values.

A

ANOVA Table

18
Q

The process of using the same or similar experimental units for all treatments.

A

Blocking

19
Q

The probability of a Type I error associated with a single pairwise comparison.

A

Comparisonwise Type I Error Rate

20
Q

An experimental design in which the treatments are randomly assigned to the experimental units.

A

Completely Randomized Design

21
Q

The objects of interest in the experiment.

A

Experimental Units

22
Q

The probability of making a Type I error on at least one of several pairwise comparisons.

A

Experimentwise Type I Error Rate

23
Q

Another word for the independent variable of interest.

A

Factor

24
Q

An experimental design that allows simultaneous conclusions about two or more factors.

A

Factorial Experiment

25
Q

The effect produced when the levels of one factor interact with the levels of another factor in influencing the response variable.

A

Interaction

26
Q

Statistical procedures that can be used to conduct statistical comparisons between pairs of population means.

A

Multiple Comparison Procedures

27
Q

The process of allocating the total sum of squares and degrees of freedom to the various components.

A

Partitioning

28
Q

An experimental design employing blocking.

A

Randomized Block Design

29
Q

The number of times each experimental condition is repeated in an experiment.

A

Replications

30
Q

Another word for the dependent variable of interest.

A

Response Variable

31
Q

An experiment involving only one factor with k populations or treatments.

A

Single-factor Experiment

32
Q

Different levels of a factor.

A

Treatment

Business Statistics II (3 decks)

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