Business Statistics (QAM103)-Semester I

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AMITY (Assignment) BBA Semester 1

Question 1. On the basis of number of variables __________correlation is a type of correlation.

a. negative

b. zero

c. positive

d. partial

Question 2. Regression line equation is in which form of equation?

a. none of these

b. two point form of equation

c. point slope form of equation

d. intercept form of equation

Question 3. Range of Correlation coefficient is **_**.

a. minus one to zero

b. minus one to plus 1

c. zero to plus one

d. minus infinity to plus infinity

Question 4. In rank correlation coefficient formula, sum of squared differences between the ranks is divided by ** _**.

a. n(1+n^2)

b. n(1-n^2)

c. n(n^2+1)

d. n(n^2-1)

Question 5. Correlation is denoted by *_*

a. ρ

b. r

c. both of these

d. none of these

Question 6. On the basis of change in proportion, which amongst the following is a type of correlation.

a. Zero

b. none of these

c. Simple

d. Multiple

Question 7. If cov (x,y) is negative, then variable x **__** as variable y increase.

a. decrease

b. None of these

c. remains constant

d. increase

Question 8. If cov (x,y) = 0 is zero, then is **__** correlation.

a. none of these

b. zero

c. negative

d. positive

Question 9. If cov (x,y) is positive, then variable x **__** as variable y increase.

a. remains constant

b. None of these

c. decrease

d. increase

Question 10. General equation of the regression line x on y is ** __**.

a. (x-xbar)=b_xy (y-ybar)

b. (x+xbar)=b_xy (y+ybar)

c. (y-ybar)=b_xy (x-xbar)

d. (x-xbar)=b_yx (y-ybar)

“If a car increases speed, travel time to a destination decreases”, is an example of ** _** correlation.

Select one:

a. Partial

b. Positive

c. Multiple

d. Negative

Question 11. Variables like Advertisement and Sales which would yield a positive correlation, can be considerred as an examples of **__** correlation.

a. partial

b. multiple

c. zero

d. simple

Question 12. Which amongst the following is not required to find Karl pearson coefficient of correlation?

a. covariance

b. Standard deviation

c. None of these

d. variance

Question 13. Regression coefficient b_yx can be calculated as **_** * [S.D. (y) / S.D. (x)]

a. alpha

b. sigma

c. phi

d. rho

Question 14. Which amongst the following is not required to find rank correlation coefficient?

a. All of these

b. Pearson correlation coefficient

c. Difference between ranks

d. Number of items

Variable of sales dependent upon both advertisement and price variables, can be considerred as an examples of **__** correlation.

Select one:

a. multiple

b. simple

c. partial

d. zero

Question 15. Following data refers to the years of service (variable X) put in by seven specialized workers in a factory and their monthly incomes (variable Y) in hundreds of rupees. X variable values with corresponding Y variable values can be listed as,, 11 years of service with income 700, 7 years of service with income 500, 9 years of service with income 300, 5 years of service with income 200, 8 years of service with income 600, 6 years of service with income 400, 10 years of service with income 800. Bases on the regression equation y on x, for 12 years of service in the similar field, what would be the recommended salary in hundreds of rupees?

a. 600

b. 700

c. 800

d. 500

Question 16. Following data refers to the years of service (variable X) put in by seven specialized workers in a factory and their monthly incomes (variable Y). X variable values with corresponding Y variable values can be listed as,, 11 years of service with income 700, 7 years of service with income 500, 9 years of service with income 300, 5 years of service with income 200, 8 years of service with income 600, 6 years of service with income 400, 10 years of service with income 800. Regression equation y on x is **__**.

a. y=4/3x-1

b. y=1-3/4x

c. y=3/4x-1

d. y=3/4x+1

Question 17. Following data refers to the years of service (variable X) put in by seven specialized workers in a factory and their monthly incomes (variable Y). X variable values with corresponding Y variable values can be listed as,, 11 years of service with income 700, 7 years of service with income 500, 9 years of service with income 300, 5 years of service with income 200, 8 years of service with income 600, 6 years of service with income 400, 10 years of service with income 800. Find the correlation coefiicient.

a. 0.29

b. 0.36

c. -0.45

d. 0.75

MODULE 5

Increase and decrease noticed in the general trend of any time series is always _________.

Select one:

a. regular

b. linear

c. both of these (wrong answer)

d. none of these

Question 1. Method of moving average is especially useful in the case of the time series with ________.

Select one:

a. regular seasonal fluctuations

b. regular cyclical movements

c. regular irregular variations

d. all of these

Clear my choice

Question 2. Normal Distribution is a continuous frequency distribution of _______ range.

Select one:

a. finite

b. infinite

c. both of these

d. none of these

Clear my choice

Question 3. Addition rule of probability is P(A union B)= P(A)+P(B) for ______ events.

Select one:

a. mutually exclusive

b. equally likely

c. non exhaustive

d. all of these

Clear my choice

Question 4. In an experiment of tossing a coin. If A = getting a head and B = getting a tail. Then A and B are _________ events.

Select one:

a. mutually exclusive

b. equally likely

c. exhaustive

d. all of these

Clear my choice

Question 5. Events are said to be _______ when one does not occur more often than the others.

Select one:

a. equally likely

b. complementary

c. disjoint

d. mutually exclusive

Clear my choice

Question 6. Range or scale of probability is ____.

Select one:

a. minus one to plus one

b. zero to one

c. minus one to zero

d. none of these

Clear my choice

Question 7. Binomial distribution is symmetrical when ____ .

Select one:

a. p>q

b. p<q

c. p=q

d. p≠q

Clear my choice

Question 8. According to empirical rule _____ percentage of data lies between one standard deviation of data.

Select one:

a. 99.7

b. 13.5

c. 68

d. none of these

Clear my choice

Question 9. If p represents the probability of success of a player in any game and M represents the sum of money he will receive in case of success Then his expectation = ______.

Select one:

a. p/M

b. p*M

c. p+M

d. p-M

Clear my choice

Question 10. Which component of time series can be considered to be present due to the occurrence of business or trade cycles in the economic world

Select one:

a. seasonal fluctuations

b. cyclical movements

c. irregular variations

d. none of these

Clear my choice

Question 11. Consider an experiment of rolling a fair dice. The probability that both dice show a 4 is ____

Select one:

a. 1/2

b. 1/36

c. 1/4

d. 1/12

Clear my choice

Question 12. In which case amongst the following can we use Poisson Distribution?

Select one:

a. No. of defective screws per box of 100 screws

b. No. of typographical errors per page

c. both of these

d. None of these

Clear my choice

Question 13. Total number of items in the sample space of an event of tossing two coins together is _____.

Select one:

a. 2

b. 4

c. 8

d. 16

Clear my choice

Question 14. Which of the following will present a symmetrical graph when plotted?

Select one:

a. B(0.3,10)

b. B(0.5,10)

c. B(0.8,10)

d. B(0.9,10)

Clear my choice

In which case will the binomial distribution be applied? Select one:

a. When we have to find the probability of 6 heads in 10 throws of a fair coin

b. When we have to find the probability that 3 out of 10 items produced by a machine, which produces 8 % defective items on an average, will be defective

c. both of these

d. None of these

Question 15. Births in a hospital occur randomly at an average rate of 1.8 births per hour. What is the probability of observing 4 births in a given hour at the hospital?

Select one:

a. 0.3628

b. 0.0723

c. 0.7329

d. none of these

Clear my choice

Question 16. Regarding a certain normal distribution concerning the income of the individuals we are given that mean = 500 rupees and standard deviation = 100 rupees. Find the possibility that an individual selected at random will belong to the income group Rs. 420 to Rs. 570.

Select one:

a. 0.183

b. 0.213

c. 0.546

d. none of these

Clear my choice

Question 17. A table of 4 students has 1 is senior and 3 juniors. The teacher is going to pick 2 students at random from this group to present homework solutions. Probability that both students selected are juniors is _____.

Select one:

a. 1/3

b. 1/2

c. 1/4

d. 1/6

Assignment 2

A nutritionist need to study the daily protein intake of a client (during 3 week period), present in different food items and the data collected by him is as follows:

32, 21, 12, 43, 16, 48, 56, 24, 40, 45, 34, 11, 43, 33, 25, 34, 55, 32, 22, 20, 42

Question 1. Making 6 class intervals for the range, the length of each interval would approximately be *.Select one:a. 4b. 5c. 8d. 10Clear my choiceQuestion 2. Starting to make the intervals from 10.5 and ending at 58.5, each interval being of length 8 units, how many intervals would exist?Select one:a. 5b. 7c. 6d. 4Clear my choiceQuestion 3. Frequency of second interval 18.5 to 26.5 is *.

Select one:

a. 5

b. 3

c. 4

d. 1

Clear my choice

Question 4. Frequency of first interval 10.5 to 18.5 is

*.*

Select one:

a. 1

b. 4

c. 5

d. 3

Clear my choice

Question 5. Frequency of the last interval 50.5 to 58.5 is.

Select one:

a. 1

b. 4

c. 5

d. 3

Clear my choice

Question 5. Frequency of the last interval 50.5 to 58.5 is

Select one:

a. 4

b. 5

c. 2

d. 3

Clear my choice

Business Statistics (QAM103)-Semester I

We Also Provide SYNOPSIS AND PROJECT.

Contact www.kimsharma.co.in for best and lowest cost solution or

Email: amitymbaassignment@gmail.com

Call/what’s app: +91 8290772200

What’s app: +91 8800352777

Amity assignment solution help, Amity assignment answers help, Assignment Help

AMITY (Assignment) BBA Semester 1

Business Statistics (QAM103)-Semester I