DBB1219 STATISTICS FOR MANAGERS

Description

SESSION	JULY-AUGUST 2025
PROGRAM	BACHELOR OF BUSINESS ADMINISTRATION (BBA)
SEMESTER	02
COURSE CODE & NAME	DBB1219 STATISTICS FOR MANAGERS

 

 

 

Assignment Set – 1

 

 

Q1. Describe the types of frequency distributions with appropriate examples. Explain how data are presented through tables and diagrams. 6+4  

Ans 1.

Types of Frequency Distributions and Presentation of Data

Types of Frequency Distributions

A frequency distribution is a systematic arrangement of data that shows how often each value or group of values occurs. It helps organize raw data into meaningful patterns that are easier to interpret. The first type is the univariate frequency distribution, which presents the frequency of a single variable. For example, if marks of 30 students are listed and grouped by score intervals such as 0–10, 11–20, and so on, the resulting table is a univariate frequency distribution. A second type is the bivariate frequency distribution, which presents the joint frequency of two variables simultaneously. For instance, a table showing the relationship between income levels and education levels is a bivariate distribution because it shows how two variables

Its Half solved only

Buy Complete from our online store

 

https://smuassignment.in/online-store/

 

MUJ Fully solved assignment available for session Jul-Aug 2025.

 

Lowest price guarantee with quality.

Charges INR 198 only per assignment. For more information you can get via mail or Whats app also

Mail id is aapkieducation@gmail.com

 

Our website www.smuassignment.in

After mail, we will reply you instant or maximum

1 hour.

Otherwise you can also contact on our

whatsapp no 8791490301.

 

 

Q2. What do you understand by Statistical Survey? Explain its planning and execution stages and discuss the importance of editing and scrutiny of data.            2+4+4 

Ans 2.

Statistical Survey: Meaning, Planning, Execution, and Importance of Editing

Statistical Survey

A statistical survey refers to a scientific method of collecting and analyzing data about specific characteristics of a population. Surveys are conducted to gather information on income, production, market trends, preferences, or social behavior. They help researchers understand the

 

Q3. Discuss the Measures of Central Tendency and Variation used in descriptive statistics. 5+5        

Ans 5.

Measures of Central Tendency

Measures of central tendency are statistical tools used to identify the central or typical value within a dataset. They condense large volumes of data into a single representative value. The three main measures are mean, median, and mode. The mean is the arithmetic average, calculated by dividing the sum of all observations by the number of observations. It is useful for quantitative data and is affected by extreme values. The median is the middle value when data are arranged in ascending or descending order. If the number of observations is even, the median is the average of the two middle values. It is appropriate when data include extreme values or outliers because it remains stable. The mode is the value that appears most frequent

 

Assignment Set – 2

 

Q4. The following frequency distribution shows marks obtained by 15 students in a quiz:

Values x: 5, 7, 8, 10, 12

Frequencies f: 3, 5, 4, 2, 1

1. a) Compute the mean.
2. b) Compute the variance and standard deviation (use population formulas for descriptive purposes).
3. c) Compute the coefficient of variation (CV %). 4+4+2

Ans 4.

Given Data

x (Values)	f (Frequencies)	f·x
5	3	15
7	5	35
8	4	32
10	2	20
12	1	12
Total	N = 15	Σfx = 114

 

1. a) Mean (4 Marks)

 

 

 

Q5. Explain the Concept and Measurement of Skewness, Moments, and Kurtosis. 3+4+3

Ans 5.

Concept and Measurement of Skewness, Moments, and Kurtosis

In descriptive statistics, skewness, moments, and kurtosis are essential measures that help understand the shape, symmetry, and distribution pattern of a dataset. These measures go beyond central tendency and dispersion by describing how values are spread around the mean, how extreme observations behave, and how the distribution differs from a normal curve. Together, they offer a deeper insight into the nature of the data and guide analysts in making

 

 

Q6. Explain the problems associated with the construction of Index Number.  10        

Ans 6.

Problems Associated with the Construction of Index Numbers

Index numbers are statistical tools used to measure changes over time in variables such as prices, quantities, and production levels. They play an important role in economic analysis, cost-of-living studies, policy formulation, and business decision-making. Although index numbers are widely used, their construction involves several conceptual, practical, and statistical challenges that may affect accuracy and reliability.

Proble