RECAP - STATISTICS FOR ECONOMETRICS

RECAP - STATISTICS FOR ECONOMETRICS

University

13 Qs

quiz-placeholder

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RECAP - STATISTICS FOR ECONOMETRICS

RECAP - STATISTICS FOR ECONOMETRICS

Assessment

Quiz

Business

University

Medium

Created by

Bawani Lelchumanan

Used 1+ times

FREE Resource

13 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main purpose of descriptive statistics?

To summarize and describe the basic features of a dataset.

To identify outliers and anomalies in a dataset.

To determine causality between variables in a dataset.

To predict future outcomes based on past data.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which statistical method is used to make predictions or inferences about a population based on a sample?

Descriptive Statistics

Inferential Statistics

Predictive Analytics

Sample Statistics

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is not a measure of central tendency?

Median

Mean

Range

Mode

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the process of making decisions or drawing conclusions about a population based on sample data?

Statistical analysis

Data interpretation

Statistical inference

Sample extrapolation

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the formula for calculating the mean?

Sum of all values * Total number of values

Sum of all values / Total number of values

Sum of all values - Total number of values

Total number of values / Sum of all values

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Define standard deviation.

Standard deviation is a measure of central tendency

Standard deviation is a measure of correlation

Standard deviation is a measure of the amount of variation or dispersion of a set of values.

Standard deviation is a measure of probability

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Explain the concept of p-value in hypothesis testing.

The p-value is always equal to 0.05 in hypothesis testing.

The p-value in hypothesis testing represents the probability of obtaining results at least as extreme as the observed results, assuming the null hypothesis is true.

The p-value is the same as the significance level.

The p-value represents the strength of the alternative hypothesis.

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