# Statistics & Research Methods-Inferential Statistics (CBSE-NET (Based on NTA-UGC) Psychology (Paper-II)): Questions 41 - 46 of 72

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## Question number: 41

» Statistics & Research Methods » Inferential Statistics

Appeared in Year: 2013

MCQ▾

### Question

The chi-square, computed for a contingency table, was based on six degrees of freedom. If the contingency table had three rows, how many columns it would have?

### Choices

Choice (4) Response

a.

6

b.

2

c.

4

d.

3

## Question number: 42

» Statistics & Research Methods » Inferential Statistics

MCQ▾

### Question

A ________ shows that increase in one measure are matched by increase in the other.

### Choices

Choice (4) Response

a.

Positive correlation and Negative correlation both

b.

Negative correlation

c.

Positive correlation

d.

All of the above

## Question number: 43

» Statistics & Research Methods » Inferential Statistics

MCQ▾

### Question

Correlation can be expressed as a coefficient of correlation. This is simply a number falling somewhere between ________ and ________.

### Choices

Choice (4) Response

a.

+1.00, -1.00

b.

+100, -100

c.

+. 99, -. 99

d.

+11.00, -11.00

## Question number: 44

» Statistics & Research Methods » Inferential Statistics

MCQ▾

### Question

Perfect correlation is 1.00 and a correlation of ________ occurs when scores are unrelated.

### Choices

Choice (4) Response

a.

0.00

b.

0.11

c.

0.10

d.

0.01

## Question number: 45

» Statistics & Research Methods » Inferential Statistics

MCQ▾

### Question

In correlation coefficient, if the number is zero or close to zero, it indicates a ________.

### Choices

Choice (4) Response

a.

Weak or nonexistent relationship

b.

Neutral relationship

c.

Strong or existent relationship

d.

All of the above

## Question number: 46

» Statistics & Research Methods » Inferential Statistics

MCQ▾

### Question

When a correlation exists, we can say that ________.

### Choices

Choice (4) Response

a.

Two variables are not related

b.

Two variables have cause and effect relationship

c.

Two variables are related

d.

All of the above

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