Top 150+ Solved Psychological Statistics MCQ Questions Answer

From 151 to 165 of 197

Q. Those events which cannot happen simultaneously in a single trial are called ……….. events.

a. Equally likely

b. Mutually exclusive

c. Independent

d. Dependent

  • b. Mutually exclusive

Q. If the totality of events includes all the possible outcomes of a random experiment, then theevents are called …………….

a. Equally likely

b. Independent

c. Mutually exclusive

d. Exhaustive

  • d. Exhaustive

Q. An event A is said to be the complementary event of B if A and B are

a. Mutually exclusive

b. Equally likely

c. Exhaustive

d. Both a and c

  • d. Both a and c

Q. If two events A and B are independent then probability of A and B is given by

a. P(A and

b. = P(A) + P(B) b) P(A and B) = P(A) – P(B)

c. P(A and B) = P(A) X P(B)

d. None of these

  • c. P(A and B) = P(A) X P(B)

Q. Conditional probability can be defined when A and B are ……………… events

a. Mutually exclusive

b. Dependent

c. Independent

d. Exhaustive

  • b. Dependent

Q. greater percentage of cases distributed about the mean score4. lesser percentage of cases belonging to extreme scores

a. Only 1 and 2 are true

b. Only 3 and 4 are true

c. all are true

d. all are false

  • b. Only 3 and 4 are true

Q. Which of the following statements is incorrect?

a. As probability of Type I error increases, probability of type II error also increases.

b. As the probability of Type I error decreases, the probability of type II error increases.

c. As the probability of Type II error decreases, the probability of Type I error increases.

d. None of these

  • a. As probability of Type I error increases, probability of type II error also increases.

Q. Normal distribution was originally investigated by -------

a. Gauss

b. Laplace

c. DeMoivre

d. None of these

  • c. DeMoivre

Q. Normal distribution was defined specially by -------

a. Laplace

b. Gauss

c. DeMoivre

d. None of these

  • a. Laplace

Q. Which of the following is significance of normal distribution in statistical analysis?

a. Many of the dependent variables are commonly assumed to be normally distributed

b. Many of the statistical techniques in inferential statistics assumes normality of variable.

c. The theoretical distribution of the hypothetical set of sample means is approximately normal.

d. All of the above

  • d. All of the above

Q. The term skewness refers to -------

a. bulginess

b. lack of symmetry

c. symmetrical

d. normal

  • b. lack of symmetry
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