# Business Statistics and Data Processing [NTA-NET (Based on NTA-UGC) Commerce (Paper-II)]: Questions 1 - 4 of 114

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## Question number: 1

» Business Statistics and Data Processing » Data Processing » Data Processing

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Appeared in Year: 2017

MCQ▾

### Question

Process of arranging data into a new order is called

### Choices

Choice (4)Response

a.

Manipulation of data

b.

Standardized input

c.

Standardization of data

d.

Sequencing of data

## Question number: 2

» Business Statistics and Data Processing » Correlation and Regression

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Appeared in Year: 2017

MCQ▾

### Question

If the two regression coefficients are 0.8 and 0.2, then the value of coefficient of correlation is

### Choices

Choice (4)Response

a.

b.

c.

d.

## Question number: 3

» Business Statistics and Data Processing » Sampling

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Appeared in Year: 2017

MCQ▾

### Question

Statement I: The absolute value of the difference between an unbiased estimate and the corresponding population parameter is called sampling error.

Statement II: Multi-stage sampling is a restricted non-probability based sampling technique. (January Paper 2)

### Choices

Choice (4)Response

a.

Statement I is incorrect, while Statement II is correct.

b.

The Statements I and II are correct.

c.

The Statements I and II are incorrect.

d.

Statement I is correct, while Statement II is incorrect.

## Question number: 4

» Business Statistics and Data Processing » Normal Distribution

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Appeared in Year: 2017

MCQ▾

### Question

Which one of the following statements is false regarding normal distribution? (January Paper 2)

### Choices

Choice (4)Response

a.

Within limits from Mean value, the area under the distribution is 99 percent of the total area.

b.

The area under the normal curve represents probabilities for the normal random variable and the total area for the normal probability distribution is one.

c.

Mean, Median and Mode always coincide.

d.

For every pair of values of Mean and Standard deviation, the curve of the distribution is bell-shaped and symmetric.

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