MBA 1st Year Examination Papers Business Statistics 2016-17 Section Wise Question Answers

MBA 1st Year Examination Papers Business Statistics 2016-17 Section Wise Question Answers Sample Model Practise Papers Examination Papers Study Material Notes MBA 1st Year Mock Papers In over Site a2znotes.com 3 Mock papers for Self-assessment Unit-Wise Division Of The Content Solved Case Studies For Practise. Section Wise Questions With Answers.

MBA. Examination 2016-17

Business Statistics

(RAM-104)

Like our Facebook Page

MBA Topic Chapter Semester Wise Sample Model Practice Question Answer Papers

MBA 1st Year Examination Papers Business Statistics 2016-17 Section Wise Question Answers | Index

MBA 1st Year Examination Papers Business Statistics 2016-17 Section Wise Question Answers Page.1

MBA 1st Year Examination Papers Business Statistics 2016-17 Section Wise Question Answers Page.2.

MBA 1st Year Examination Papers Business Statistics 2016-17 Section Wise Question Answers Page.3

Time: 3 Hours] [Max. Marks : 100

Note: 1. Answer all questions from section-a.

2. Answer any three questions from Section-B.

3. Answer all questions from Section-C using internal choice.

Section A

Note: Write Short notes on following in not more than 50-75 words.

MBA 1st Year Examination Papers Business Statistics 2016-17 Section Wise Question Answers
MBA 1st Year Examination Papers Business Statistics 2016-17 Section Wise Question Answers
  1. (a) Differentiate between median & mode.

Ans. Difference between median and Mode

S.No. Basis of Difference Median Mode
1. Affect It is not affected by extreme values as in the mean. It is also not affected by extreme values as in the mean.
2. Basis It is not based on all observations. It is also not based on all observations.
3. Order of data It is necessary to arrange the data in ascending or descending order of magnitude. It is also necessary to arrange the data in ascending or descending order of magnitude.
4. Capability It is also capable of further algebraic treatment. It is not capable of further algebraic treatment.
5. Definition It is also rigidly defined and determinate. It is ill defined.
6. Location by inspection Arranging the data in order of magnitude. It can also be found out by inspection.

(b) How skewness is used to measure the normality of data?

Ans. The skewness for a normal distribution is zero, and any symmetric data should have a skewness near zero. Negative values for the skewness indicate that they are skewed left and positive values for the skewness indicate data that are skewed right. By skewed left means that the left tail is long relative to the right tail. Similarly, skewed right means that the right tail is long relative to the left tail. If the data are multi-modal, this may affect the sign of skewness.

(c) What are quartiles and their use?

Ans. Quartiles are measures of central tendency that divide a group of data into four subgroups or parts. The three quartiles are denoted as Q1, Q2 and Q3.

  • The first quartile (Q1), separates the first, or lowest, one-fourth of the data from the upper three-fourths and is equal to the 25th percentile.

(ii) The second quartile (Q), separates the second quarter of the data from the third quarter. O is located at the 50th percentile and equals the median of the data.

(iii) The third quartile (Q2), divides the first three-quarters of the data from the last quarter and is equal to the value of the 75th percentile.

Uses of Quartiles: 

(i) They can be used to calculate the interquartile range. 

(ii) They measure the spread of the middle which eliminates extreme values. 

(iii) Boxplots can be drawn using quartiles.

(d) How to write equation of least square method? 

Ans. The method of least squares can be used either to fit a straight line trend or a parabolic trend. The straight line trend is represented by the question

Yc = a + bX 

Where Yc denotes the trend (computed) values to distinguish them from the actual Y values, a is the Y intercept or the value of the Y variable when X=0, b represents slope of the line or the amount of change in Yvariable that is associated with a change of one unit in X variable. The X variable in time series analysis represents time.

(e) What is regression? 

Ans. Refer to Unit-III, Sec-C, Q.3.

(f) What are characteristics of normal distribution? 

Ans. Refer to Unit-IV, Sec-A, Q.15.

(g) What are type I errors? 

Ans. Refer to Unit-V, Sec-B, Q.5.

(h) What is chi square test of hypothesis testing? 

Ans. Refer to Unit-V, Sec-A, Q.18.

Section B

Note: Write notes on following in not more than 100 to 200 words. Attempt 3 out of 5. (10×3=30)

2. What is sampling? Describe various techniques of sampling. 

Ans. Sampling: A process used in statistical analysis in which a predetermined number of observations will be taken from a larger population is called sampling. Sampling is essential technique of behavioural research, the research work cannot be undertaken without use of sampling.

Davis S. Fox. ‘In social science, it is not possible to collect data from every respondent relevant to our study but only from some fractional part is called sampling.

Sampling techniques are basically of two types viz., probability sampling and non-probability sampling. 

Tagged with: , , ,

Leave a Reply

Your email address will not be published. Required fields are marked *

*