Statistics Concepts Assessment

Statistics Concepts Assessment

University

20 Qs

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Statistics Concepts Assessment

Statistics Concepts Assessment

Assessment

Quiz

Computers

University

Practice Problem

Hard

Created by

kanipriya M

Used 1+ times

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20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the key assumptions of ANOVA?

Normal distribution of outcomes

Independence of means

Random assignment of treatments

Independence, Normality, Homogeneity of variances, Random sampling.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you interpret the coefficients in a logistic regression model?

The coefficients show the direct impact on the dependent variable's value.

The coefficients indicate the percentage change in the predictor variable.

The coefficients represent the actual probability of the outcome occurring.

The coefficients indicate the change in log-odds of the outcome for a one-unit increase in the predictor.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In what scenarios would you apply a log linear model?

Count data analysis, especially with non-negative responses and multiplicative relationships.

Linear regression for continuous variables

Binary outcome prediction

Time series analysis with seasonal data

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the main steps involved in performing Linear Discriminant Analysis?

Apply principal component analysis

Calculate correlation coefficients

The main steps in performing Linear Discriminant Analysis are: compute mean vectors, calculate scatter matrices, find eigenvalues/eigenvectors, select top eigenvectors, project data, and classify.

Perform k-means clustering

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does ANOVA differ from regression analysis?

ANOVA requires normally distributed data; regression does not.

ANOVA is used for time series analysis; regression is for categorical data.

ANOVA compares group means; regression analyzes relationships between variables.

ANOVA analyzes relationships between variables; regression compares group means.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are some common applications of logistic regression?

Weather forecasting

Time series analysis

Image recognition

Common applications of logistic regression include customer churn prediction, disease diagnosis, credit scoring, and spam detection.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the significance of homogeneity of variance in ANOVA?

It is only relevant for two-sample t-tests, not ANOVA.

It indicates the need for larger sample sizes in ANOVA.

It ensures valid results and accurate F-statistic calculations in ANOVA.

It allows for the comparison of means without any assumptions.

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