Important Chi-Square Test MCQs with Answers 4

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The post is about the Chi-Square Test MCQS with Answers. The Chi-square test is used to find the association between attributes. Let us start with the Chi-Square Test MCQs with Answers.

Online Multiple Choice Questions about Chi-square Association

1. A characteristic which cannot be measured numerically is called

 
 
 
 

2. If $\chi^2_{calculated}$ is greater than the critical region, then the attributes are

 
 
 
 

3. If $\chi^2_{calculated} = 0$ then

 
 
 
 

4. The degree of relationship between two attributes is called

 
 
 
 

5. $(\alpha \beta)$ is the frequency of the class of the order

 
 
 
 

6. Which of the following is not an example of an attribute

 
 
 
 

7. The $\chi^2$ distribution is

 
 
 
 

8. The two attributes are said to be ———–, if for every cell of the contingency table, the observed frequency $O_{ij}$ is equal to the expected frequency $e_{ij}$

 
 
 
 

9. If $(AB) = \frac{(A)(B)}{n}$ the attributes $A$ and $B$ are said to be

 
 
 
 

10. The coefficient of contingency is measured by

 
 
 
 

11. The Yule’s coefficient of association lies between

 
 
 
 

12. The eye colour of students in a girls college is an example of

 
 
 
 

13. In a contingency table with $r$ rows and $c$ columns, the degree of freedom is

 
 
 
 

14. If $(AB) < \frac{(A)(B)}{n}$ then the two attributes $A$ and $B$ are said to be

 
 
 
 

15. In a $3 \times 3$ contingency table, the degrees of freedom is

 
 
 
 

16. The Spearman’s coefficient of rank correlation always lies between

 
 
 
 

17. If $A$ and $B$ are independent attributes then the coefficient of associate is

 
 
 
 

18. In a Chi-Square test of independence, no expected frequencies should be

 
 
 
 

19. The value of $\chi^2$ is always

 
 
 
 

20. Religions of the people of a country is

 
 
 
 

The relationship/ Dependency between the attributes is called association and the measure of degrees of relationship between attributes is called the coefficient of association. The Chi-Square Statistic is used to test the association between the attributes. The Chi-Square Association is defined as

$$\chi^2 = \sum \frac{(of_i – ef_i)^2}{ef_i}\sim \chi^2_{v}$$

where $v$$ denotes the degrees of freedom.

The Chi-Square tests:

  • are appropriate for categorical data, not continuous data (like height or weight).
  • The data needs to be from a random sample and have sufficient sample size for the test to be reliable.
  • The test results in a chi-square statistic and a p-value.

Chi-Square Test MCQs with Answers

  • A characteristic which cannot be measured numerically is called
  • Which of the following is not an example of an attribute
  • The eye colour of students in a girl’s college is an example of
  • Religions of the people of a country is
  • The degree of relationship between two attributes is called
  • In a contingency table with $r$ rows and $c$ columns, the degree of freedom is
  • The $\chi^2$ distribution is
  • If $\chi^2_{calculated}$ is greater than the critical region, then the attributes are
  • In a $3 \times 3$ contingency table, the degrees of freedom is
  • The Spearman’s coefficient of rank correlation always lies between
  • The Yule’s coefficient of association lies between
  • If $(AB) < \frac{(A)(B)}{n}$ then the two attributes $A$ and $B$ are said to be
  • If $(AB) = \frac{(A)(B)}{n}$ the attributes $A$ and $B$ are said to be
  • The coefficient of contingency is measured by
  • If $\chi^2_{calculated} = 0$ then
  • $(\alpha \beta)$ is the frequency of the class of the order
  • If $A$ and $B$ are independent attributes then the coefficient of associate is
  • The value of $\chi^2$ is always
  • In a Chi-Square test of independence, no expected frequencies should be
  • The two attributes are said to be ———–, if for every cell of the contingency table, the observed frequency $O_{ij}$ is equal to the expected frequency $e_{ij}$
Chi-Square Test MCQs with Answers

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Best Probability Questions and Answers 8

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Online MCQs Probability Questions and Answers. The Quiz covers topics of rules of counting, events, and types of events such as mutually exclusive and exhaustive events, sample space, Rules of Probability, etc. Let us start with the MCQs Probability Questions and Answers.

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Probability Questions and Answers

  • In tossing two dice, the probability of obtaining 4 as the sum of the resultant faces is ———-.
  • The probability of a red card out of 52 cards is
  • A single letter is selected at random from the word “STATISTICS” the probability that it is a vowel is ———-.
  • A single letter is selected at random from the word “PROBABILITY”, the probability that it is a vowel is ———.
  • When two dice are rolled, the probability of getting similar faces.
  • $P(A)=0.2$, $P(B)=0.5$. If $A, B$, and $C$ are mutually exclusive events then $P(C)$ is
  • $P(A)=0.7$, $P(B)=0.5$. If $A$ and $B$ are independent then $P(A \cap B)=$?
  • For two independent events $A$ and $B$, if $P(A)=0.12$, $P(B)=0.2$ then $P(A\cap B)=$?
  • If $P(A)=0.3$, $P(B)=0.8$, $P(A\cap B)=0.24$ then the events $A$ and $B$ are
  • If $P(A \cup B)=0.8$, $P(A)=0.4$, $P(A\cap B)=0.3$ then the values of $P(C)$ is
  • The probability of drawing any one spade card is
  • The probability of drawing a white ball from a bag of 6 red, 8 black, 10 green, and 5 white balls is
  • A student solved 160 questions out of 350. The probability of solving the next is
  • If $E$ is an impossible event, then $P(E)$ is
  • If the event contains no number in it, then the probability of such event will be
  • If $P(B)\ne 0$, then the conditional probability $P(A|B)$ is defined a
  • If $A$ and $B$ are two independent events then $P(A)\dot P(B)=$
  • $P(A\cup B)=P(A) + P(B)$, if $A$ and $B$ are
  • If $A$ and $B$ are two non-mutually exclusive events then $P(A\cup B)=$
  • $P(A\cap B)=P(A)\dot P(B)$ then events $A$ and $B$ are
Probability Questions and Answers

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Important MCQs Probability Quiz Answers 7

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Online MCQs Probability Quiz Answers. The Quiz covers topics of rules of counting, events, and types of events such as mutually exclusive and exhaustive events, sample space, Rules of Probability, etc. Let us start with the MCQs Probability Quiz Answers.

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Online MCQs Probability Quiz Answers

  • In how many ways can 6 persons be seated on a sofa set with three seats?
  • The number of ways in which four books can be arranged on a shelf is
  • Number of ways a committee of 3 members can be selected from 5 members
  • $^nC_r=$
  • $^5P_1=$
  • Two events are called collectively exhaustive if $A\cup B=$
  • If $A \cap B=\phi$, then the events $A$ and $B$ are called
  • When a coin is tossed, the sample space is
  • A coin is tossed three times in succession the number of sample points in the sample space is
  • Three coins are tossed together, the sample will consist of ———- sample points.
  • When a die and coin are rolled there are sample points.
  • When a pair of dice is rolled, the sample space consists of
  • Total number of ways when three fair dice are thrown
  • If three cards are drawn from a pack of 52 cards, then sample space is
  • The probability of an event always lies between
  • The probability of an event cannot be
  • The sum of probabilities of all mutually exclusive events of an experiment will be
  • In tossing two perfect coins the probability that at least one head will occur is
  • If a coin is tossed thrice then the probability of three heads is
  • Three coins are tossed, ———- is the probability of getting at least one head.
MCQs Probability Quiz Answers

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