Thursday, August 19, 2010

course module business stats

Punjab College of Technical Education Ludhiana




COURSE MODULE

BUSINESS STATISTICS



Name of Teacher: Asha Sharma (asha_s81@hotmail.com)



Subject Code: BB-304

No. Of lecture: 57

Class Tests: 2

Hourly test: 2

Assignment: 3

Activity: 2



Course Objective:



Business Statistics is helpful in framing suitable policies in a large number of diversified fields covering natural, physical and social sciences. It will enable the students to know what is statistics, how and when to apply statistical techniques to decision making situations and how to interpret the results.





Class Room Policies:



1. Student will be allowed to enter the class till the attendance is going on, after that no one can enter the class.

2. No student will be given a chance to reappear for MSE.

3. All the tests will be considered for internals.

4. Each assignment will have weightage & assignments are to be submitted by the scheduled time, failing which no assignment will be accepted.



Internal Marks Distribution:



Mid Semester Examination: 15

Presentation: 6

1st Hourly Tests: 5

2nd Hourly Tests: 5

Class test: 5

Assignment: 4













Course Break-Up



Lecture No. Contents Assignments

1. Introduction to Business Statistics

• Relevance

• Applications

2. Functions of statistics

• Definiteness

• Condensation

• Comparison

• Prediction

• Formulation Of suitable policies

Limitations

• True only on average

• It can be misused

• One method of studying the problem

• Does not deal with individual measurements

3. Data

• Relevance

• Collection of Data

4. Classification of data

5. Collection of chocolate preference (Activity-1)

6. Formation of discrete

Continuous frequency distribution

7. Tabulation of data

• meaning

• Relevance

• Format of table

8. Case study -1(Portfolio management)

9. Graphic presentation: Meaning

Types of diagrams

• Sub-divided bar

• Multiple bars

• Percentage bar

• Pie Chart

10. Graphic presentation (contd.).

• Graphs of frequency distribution

• Frequency Polygon

• Frequency curve

• Ogives

11. Practical Tutorial- 1

Discussion on the problem of students.

12. Measures of central value / Measures of Location

Relevance

Objectives of averaging

Requisites of a good average Assignment-1

13. Arithmetic mean

# Calculation in Individual

14. Calculation of mean in descrete and continuous series

15. Geometric mean



16. Harmonic mean



17. Median

• meaning

• Relevance

• Calculation of mean in individual series and descrete series



18. Median

• Continuous series

• Merits and demerit

1st hourly Test

19. Mode

• Meaning

• Calculation of mode

 Individual series

20. Mode

• Discrete series

• Continuous series

• merits and demerits

Assignment-2

21.

Quartiles

Meaning and calculation

22. Deciles

Percentile



23. Practical Tutorial 2

24. Avtivity-1 Students are required to calculate the mean of 20 highest paid executives in India & show the trends of increase in the remuneration of the executives.



25. Measures of dispersion

• Meaning.

• Range

• Quartile deviation

26. Mean deviation

• Meaning and calculation

• Merits and demerits

27. Standard deviation

• Meaning

• Calculation in individual series

28.

Standard deviation

• Calculation in descrete series

• Coefficient of variation

29. Standard deviation

Calculation in continuous series

30. Correlation analysis

• Meaning

• Types of correlation

31. Karl Pearson’s coefficient of correlation

calculation



32. Probable error

Rank correlation





33. Activity-2 Calculate the relationship between the marks obtained in 10th & +2 of 15 students.





34. Practical Tutorial 3

35. Regression

Meaning

Relevance

2nd Hourly test

36. Regression

• Calculation

• Regression Equations

• Merits & Demerits

37. Index Number

• Meaning

• Relevance

• Problems in construction of index numbers

38. Index Number

• Methods of constructing Index Numbers

• Unweighted- Simple Aggregative Assignment-3

39. • Weighted- Weighted sAggregative

• Weighted Average Of Relative

40. Index Numbers

• Test of Adequacy of Index Numbers

• Chain Index Number

41. Index numbers (cont)

Base Shifting

42. Class Test-2

43. Analysis of Time Series

• Meaning.

• Components of Time series

44. Analysis of Time Series

• Measurement of Trends

a) Graphic Method

b) Method of Semi Averages

45. Analysis of Time Series

c) Method of Moving Averages

46. Analysis of Time Series

Method of Least Square

47. Tutorial-4

Mid Sementer Examination

48. Probability

• Meaning

• Relevance

49. Calculation of probability: Experiments & events, Mutually Exclusive events, independent & dependent events.



50. Theorems Of Probability

• Addition P(A or B)= P(A)+ P(B)

• Multiplication P(A&B)=P(A)*P(B)

51. Theorems Of Probability (cont..)

Bayes’ Theorem



52. Case Study-2 (Tiger air express)

53. Probability distribution

• Meaning

• Relevance

• Binomial Distribution

54. Poisson distribution

• Meaning

• Calculation

55. Class Test-2

56. Normal distribution

• Meaning

• Calculation

57. Tutorial-5







REFERNCES



1. Levin & Rubin: Statistics for Management, Prentice Hall India.

2. Srivastava & Rego : Statistics for Management, Tata McGraw Hill

3. S.P.Gupta : Statistical Methods, Sultan Chand & Sons

4. Andersons, Sweeny and Williams : Cengage Learning, Statistics for Business and Economics





































Activity-1



Students will go to 25 children and ask them about their chocolates’ preferences among the various brands available in the market. They will collect the data about the name and age of the children along with their preferences. Then, they will convert this raw data into a Bivariate Table consisting of 2 variables.

1. Chocolate

2. Age

For Example:

X(Chocolate)/Y(Age) 3-5 5-7 7-9 9-11 11-13 13-15

Dairy Milk

sMilky Bar

Munch

Perk

Nestle

5 Star

Bar One





Activity-2

Calculate the relationship between the marks obtained in 10th & +2 of 15 students.







Assignment-1



Draw the Histogram, Frequency Polygon and Frequency Curve:



1.

Variable Frequency Variable Frequency

100-110 11 140-150 33

110-120 28 150-160 20

120-130 36 160-170 8

130-140 49





2.

Salary (p.m.) No. of employees

Less than 3000 100

3000-4000 20

4000-5000 30

5000-6000 60

6000-7000 75

7000 & More 115







Assignment-2



1. Calculate Median & Mode of the data given below. Using them find arithmetic mean.



Marks Less Than 10 20 30 40 50 60

No. of students 8 23 45 65 75 80



2. Find the class intervals if arithmetic mean of the following distribution is 33 & assumed mean 35.

Step Deviation -3 -2 -1 0 1 2

Frequency 5 10 25 30 20 10





Assignment-3



1. Calculate Karl Pearson’s Coefficient Of Correlation from the following data:



X 100 200 300 400 500 600 700

Y 30 50 60 80 100 110 130





2. Find Rank Correlation

X 50 55 65 50 55 60 50 65 70 75

Y 110 110 115 125 140 115 130 120 115 160









Presentation Topics



Every group will take up any Organization according to their convenience and will collect the data relating to its sales and Production (month wise for 4 years) and will show the same for every year in graphs and will have to find the average sales and production during the year and the combined mean for all the 4 years.





The students will be divided into the group of 3. Each group will have to present within 20 minutes.







Presentation Assessment Break Up



Presentation Report 3

Communication skills 4

Formals 1

Query handling 2





Formulae Of Statistics In Course



Arithmetic mean

Direct Method

In Individual Series A.M.= ΣX/N

In Discrete & Continuous series A.M.= ΣFX/ΣF

Short Cut Method/ Indirect Method A.M.= A+ΣFdx/ΣF

Step-deviation Method A.M.=A+ΣFdx'/ΣF*i



Geometric Mean G.M.=√ab

Harmonic Mean

In Individual Series N/Σ(1/X)

In Discrete & Continuous series N/Σ(f*1/X)

Median

In Individual & Discrete Series M=N+1/2, (Nth term+N+1/2)/2

Continuous series N1=N/2, M=L+ N1-CF/F*i



Mode

In Individual Series Maximum repeated term

In Discrete & Continuous series Groupung Table & Analysis Table, M= L+D1/(D1+D2)*i



Quartiles

In Individual & Discrete Series Q1=N+1/4, Q2=2(N+1)/4, Q3=3(N+1)/4

Continuous series N1=N/4, Q1=L+(N1-C.F.)/F*i,N1=3N/4,Q3=L+(N1-C.F.)/F*i

Decile N1=N/10, D1=L+(N1-C.F.)/F*i,N1=9N/10,D9=L+(N1-C.F.)/F*i

Percentile N1=10(N/100), P10=L+(N1-C.F.)/F*i,N1=90N/100,P90=L+(N1-C.F.)/F*i

Measures of dispersion

Range Highest Value-Lowest Value

Quartile Deviation Q3-Q1/2

Coeffcient of quartile deviation Q3-Q1/Q3+Q1



Mean Deviation

In Individual Series Σ[X-A.M.]/N

In Discrete & Continuous series ΣF[X-A.M.]/N

Coefficient Of Mean Deviation M.D./A.M.or M or Z



Standard Deviation

In Individual Series √Σd²/N-(Σd/N)2

In Discrete & Continuous series √Σfd²/N-(Σfd/N)2

Coefficient Of Standard Deviation S.D./A.M.

Variance S.D.²

Coefficient of variation S.D./A.M.*100



Coefficient Of Correlation

Karl Pearson r=NΣXY-(ΣX.ΣY)/√(NΣX²-{ΣX}²).√(NΣY²-{ΣY}²)

Spearman 1-6ΣD²/N³-N When ranks are not repeated

1-6[ΣD²+1/12{m³-m}]/N³-N, When ranks are repeated

Concurrent deviation √(2C-n/n)

Standard Error 1-r²/√N

Probable Error 0.6745 (1-r²/√N)