Statistics MCQs - MCQtimes.com

Two parameters

Three parameters

Four parameters

None of these

Author: rikazzz Comment

A regression analysis between sales (in $1000) and price (in dollars) resulted in the following equation: ! = 50,000 – 8X The above equation implies that an :

increase of $1 in price is associated with a decrease of $8 in sales

increase of $8 in price is associated with an increase of $8,000 in sales

increase of $1 in price is associated with a decrease of $42,000 in sales

increase of $1 in price is associated with a decrease of $8000 in sales

Author: rikazzz Comment

Measures of Central Tendency

The mean, mode, and median of the data set: 5, 4, 10, 12, 1, 5, 3, 7, 15, and 8 is respectively:

5, 6, 7

7, 6, 5

6, 5, 7

7, 5, 6

Author: rikazzz Comment

Introduction to Statistics

Statistics results are:

Absolutely Correct

Not True

True on Average

Universally True

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Probability Distribution

If f(x) = 1/2 e^(-|x| ), -8=x=8 then its variance is:

4

2

0

None of these

Author: rikazzz Comment

Probability Distribution

ß(l,m) =?_0^1¦?x^(l-1) (1-x)?^(m-1) dx is called:

Gamma function

Beta function of II kind

Beta function of I kind

None of these

Author: rikazzz Comment

Introduction to Statistics

Measurements usually provide:

Discrete Data

Continuous Data

Qualitative Data

Primary Data

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Probability Distribution

Range of the distribution is 0 to 8 of:

Gamma distribution

Beta distribution of kind II

Negative Exponential distribution

All of these

Author: rikazzz Comment

Corelation and Regression

In least squares regression, which of the following is not a required assumption about the error term ε?

The expected value of the error term is one.

The variance of the error term is the same for all values of x.

The values of the error term are independent.

The error term is normally distributed)

Author: rikazzz Comment

Probability Distribution

A distribution having five parameters is called:

Gamma distribution

Bivariate normal distribution

Beta distribution of kind II

Negative Exponential distribution

Author: rikazzz Comment