# Statistics & Research Methods (CBSE-NET (UGC) Psychology (Paper-II & Paper-III)): Questions 141 - 143 of 162

Get 1 year subscription: Access detailed explanations (illustrated with images and videos) to 4467 questions. Access all new questions we will add tracking exam-pattern and syllabus changes. View Sample Explanation or View Features.

Rs. 700.00 or

## Question number: 141

» Statistics & Research Methods » T Tests

Appeared in Year: 2015

Assertion-Reason▾

### Assertion (Ꭺ)

In the randomized two – group design, if the mean difference between the two groups in analysed both by t and F tests, F is always larges then t. (June)

### Reason (Ꭱ)

In the randomized two group design, the t2 = F.

### Choices

Choice (4) Response

a.

Both Ꭺ and Ꭱ are true and Ꭱ is the correct explanation of Ꭺ

b.

Ꭺ is true but Ꭱ is false

c.

Ꭺ is false but Ꭱ is true

d.

Both Ꭺ and Ꭱ are false

## Question number: 142

» Statistics & Research Methods » Factor Analysis

Appeared in Year: 2015

Match List-Ⅰ List-Ⅱ▾

### Question

Match List – I with List – II. Select the correct answer using the codes given below: (June)
List-Ⅰ (Types Of Design) List-Ⅱ (Description)

(A)

Randomized block design

(i)

Analyses the data for matched groups

(B)

Factorial design

(ii)

Each subject participates under all experimental conditions.

(C)

Single – factor repeated

(iii)

Suitable for studying the interactions measures design among the independent variables

(D)

Design with a covariate

(iv)

Employs statistical control

### Choices

Choice (4) Response
• (A)
• (B)
• (C)
• (D)

a.

• (iv)
• (ii)
• (i)
• (iii)

b.

• (ii)
• (iv)
• (iii)
• (i)

c.

• (ii)
• (i)
• (iv)
• (iii)

d.

• (i)
• (iii)
• (ii)
• (iv)

## Question number: 143

» Statistics & Research Methods » ANOVA or F Test

Appeared in Year: 2015

MCQ▾

### Question

Which one of the following is considered as a non-parametric alternative to one-way ANOVA for independent samples? (December)

### Choices

Choice (4) Response

a.

Kruskal - Wallis H test

b.

Mann- Whitney U test

c.

Kolmogorov - Smirnov test

d.

Friedman’s ANOVA