MSC -QUIZ 3

MSC -QUIZ 3

University

10 Qs

quiz-placeholder

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MSC -QUIZ 3

MSC -QUIZ 3

Assessment

Quiz

Other

University

Practice Problem

Easy

Created by

Aaron D'Lima

Used 1+ times

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

1) What is the level of significance?

  • A) The probability of making a Type I error

  • B) The probability of making a Type II error

  • C) The power of the test

  • D) The mean of the population

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

2) Which of the following best describes a Type I error?

A) Correctly failing to reject the null hypothesis

B) Failing to reject the null hypothesis when it is false

  • C) Correctly rejecting the null hypothesis

  • D) Rejecting the null hypothesis when it is true

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

3) What is a critical region in hypothesis testing?

  • A) The area where the null hypothesis is accepted

  • B) The area where the null hypothesis is rejected

  • C) The area where Type I errors occur

D) The area where Type II errors occur

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

4) What does the power of a test indicate?

  • A) The probability of making a Type I error

  • B) The probability of making a Type II error

  • C) The probability of correctly rejecting the null hypothesis

  • D) The level of significance

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

5) Which of the following is true about parametric tests?

  • A) They do not assume a specific distribution

  • B) They assume the data follows a normal distribution

  • C) They can only be used for small sample sizes

D) They are always more powerful than non-parametric tests

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

6) What is the degree of freedom in statistical tests?

  • A) The number of independent values that can vary in an analysis

  • B) The total number of observations

  • C) The maximum number of hypotheses tested

D) The level of significance

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

7) What does a p-value represent?

A) The probability of making a Type I error

  • B) The level of significance

  • C) The probability of observing the test statistic given that the null hypothesis is true

  • D) The confidence level

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