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Multivariate Statistics Questions and Answers Graded A+

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Multivariate Statistics Questions and Answers Graded A+

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Multivariate Statistics Questions and
Answers Graded A+

What is the difference between univariate, bivariate, and multivariate analysis? -

Correct answer-Univariate (or descriptive) analysis = describe data and find

patterns




Bivariate analysis = relationship between two variables




Multivariate analysis = relationship between 3 or more variables (includes at least

1 independent and 2 dependent variables)

What is a numeric/metric/interval/continuous variable? - Correct answer-

Something that can be measured (e.g., height, weight, speed etc.)

What is a categorical/nominal/ordinal variable? - Correct answer-Variable with a

set number of groups (genders, colors of the rainbow, brands of cereal etc.)




©COPYRIGHT 2025,ALL RIGHTS RESERVED 1

,Only two groups = dichotomous variable (or maybe dummy variable)

What is the Total Survey Error (TSE) framework and which two concepts are

important in regard to the TSE framework? - Correct answer-TSE accounts for

different kinds of errors that occur at different stages throughout an investigation.

Two important concepts are:

1. Reliability

2. Validity

What is reliability? - Correct answer-- refers to the idea of replicability

- accounts for the degree of consistency of a measurement (for different observers,

at different times etc.)

What is validity? - Correct answer-- addresses the conclusions we can draw from a

measure

- e.g., internal validity aims at measuring the fit between the concept and the

measures

Why does the estimate of a parameter always contain a margin of error? - Correct

answer-Because we always work with sample statistics.




©COPYRIGHT 2025,ALL RIGHTS RESERVED 2

, The point estimates of sample statistics can never be expected to be the exactly

equal to the value of a parameter in the population.

What is the margin of error also referred to and what is the definition of this term?

- Correct answer-The margin of error is also referred to as the confidence interval.




The confidence interval corresponds to the area where we know for a given

probability (usually 0.95) that the average or percentage of a value will be found.




The goal is to produce a range of values that is likely to contain the true population

parameter with a certain level of confidence.




The confidence value shall not contain zero!

What is the probability theory? - Correct answer-It indicates the probability of the

researcher being wrong in assuming that the findings can be generalized to the

entire population.




This risk of error is most commonly 0.05, or 5%.


©COPYRIGHT 2025,ALL RIGHTS RESERVED 3

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