How statistical techniques can solve business problems


Assignment Specifications:

Assignment Objective: This assignment aims at Understand various qualitative and quantitative research methodologies and techniques, and other general purposes are:

1. Explain how statistical techniques can solve business problems

2. Identify and evaluate valid statistical techniques in a given scenario to solve business problems

3. Explain and justify the results of a statistical analysis in the context of critical reasoning for a business problem solving

4. Apply statistical knowledge to summarize data graphically and statistically, either manually or via a computer package

5. Justify and interpret statistical/analytical scenarios that best fits business solution

Assignment Structure should be as given:

This is an applied assignment. Students have to show that they understand the principles and techniques taught in this course. Therefore students are expected to show all the workings, and all problems must be completed in the format taught in class, the lecture notes or prescribed text book. Any problems not done in the prescribed format will not be marked, regardless of the ultimate correctness of the answer.

(Note: The questions and the necessary data are provided under "Assignment and Due date" in the Blackboard.)

Assignment Instructions:

A) Your assignment must he submitted in WORD format only!

B) When answering questions, wherever required, you should copy/cut and paste the Excel output (e.g. plots, regression output etc.) to show your working/output.

C) Submit your assignment through Safe-Assign ui the course website, under the Assignments and due dates, Assignment Final Submission before the due date.

D) You are required to keep an electronic copy of your submitted assignment to re-submit, in case the original submission is failed and/or you are asked to resubmit.

E) Please check your Holmes email prior to repining your assignment mark regularly for possible communications due to failure in your submission.

The numbers of weekly sales calls by a sample of 40 telemarketers were recorded in the table below.

14

8

6

12

21

4

9

0

25

17

9

5

8

18

16

3

17

19

10

15

5

20

17

14

19

7

10

15

10

8

28

31

27

30

2

17

26

11

29

19

i. Construct a frequency distribution and a relative frequency distribution for the data.

ii. Construct a cumulative frequency distribution and a cumulative relative frequency distribution for the data.

iii. Plot a relative frequency histogram for the data.

iv. Construct an ogive for the data.

v. What proportion of the data is less than 20?

vi. What proportion of the data is more than 24?

Classes

Frequency

Relative Frequency

Cumulative Frequency

Cumulative Relative Frequency

0-4





5-9





10-14





15-19





20- 24





24- 29





30- 34





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Basic Statistics: How statistical techniques can solve business problems
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