Cooperative Management  ·  Level 6
Business Mathematics And Statistics
Chapter 5: Carry out descriptive statistics
📚 3 Topics
⚑ What you will be able to do

By the end of this chapter, you will be able to:

  • accurately determine measures of central tendency by following proper work procedures
  • correctly calculate measures of dispersion according to standard work procedures
  • confidently analyze measures of skewness and kurtosis using the required work procedures

Mastering these skills will help you interpret and summarize business data effectively, making you a valuable asset in any workplace.

Compiled by: Samuel Maina

Descriptive statistics are essential in Cooperative Management for summarizing and interpreting data collected from members, financial records, and operational activities. Measures of central tendency provide key insights into typical values within datasets, enabling cooperative managers to make informed decisions. This chapter focuses on the three primary measures of central tendency, mean, mode, and median, and their application in cooperative settings such as member contribution analysis, loan repayment patterns, and sales data interpretation.

5.1 Measures of central tendency

Measures of central tendency summarize data by identifying a central or typical value, providing a snapshot that simplifies complex data sets. In cooperative management, understanding these measures aids in evaluating member behavior, financial performance, and resource allocation. The three main measures are mean, mode, and median, each appropriate for different data types and distributions.

5.1.1 Mean

The mean is the arithmetic average of a data set, calculated by summing all values and dividing by the number of observations. It is widely used in cooperative financial analysis, such as determining average member savings or average loan amounts.

$$\text{Mean} = \frac{\sum x_i}{n}$$

where \(x_i\) are the individual data points and \(n\) is the number of data points.

Worked Examples

Example 1: A cooperative has 5 members who saved the following amounts in Ksh: 2,000; 3,000; 2,500; 4,000; 3,500. Find the mean savings.

Given: \(x_1 = 2000\), \(x_2 = 3000\), \(x_3 = 2500\), \(x_4 = 4000\), \(x_5 = 3500\), \(n=5\)

$$\text{Mean} = \frac{2000 + 3000 + 2500 + 4000 + 3500}{5}$$

$$= \frac{15000}{5}$$

$$= 3000 \text{ Ksh}$$

Answer: 3000 Ksh

Example 2: A SACCO recorded the loan amounts disbursed to 8 members as follows (in Ksh): 10,000; 15,000; 12,000; 18,000; 20,000; 16,000; 14,000; 17,000. Calculate the mean loan amount.

Given: \(n=8\), data points as above.

$$\text{Mean} = \frac{10000 + 15000 + 12000 + 18000 + 20000 + 16000 + 14000 + 17000}{8}$$

$$= \frac{122000}{8}$$

$$= 15250 \text{ Ksh}$$

Answer: 15,250 Ksh

Example 3: A cooperative’s monthly sales in Ksh over 6 months are: 50,000; 65,000; 55,000; 70,000; 60,000; 75,000. Find the mean monthly sales.

Given: \(n=6\), data points as above.

$$\text{Mean} = \frac{50000 + 65000 + 55000 + 70000 + 60000 + 75000}{6}$$

$$= \frac{375000}{6}$$

$$= 62500 \text{ Ksh}$$

Answer: 62,500 Ksh

Example 4: A cooperative wants to find the average number of products sold per day over 10 days: 120, 135, 140, 110, 125, 130, 150, 145, 115, 140. Calculate the mean.

Given: \(n=10\), data points as above.

$$\text{Mean} = \frac{120 + 135 + 140 + 110 + 125 + 130 + 150 + 145 + 115 + 140}{10}$$

$$= \frac{1310}{10}$$

$$= 131 \text{ products}$$

Answer: 131 products

Example 5: A cooperative’s annual dividend per member (in Ksh) for 7 members is: 800; 900; 850; 1000; 950; 1100; 1050. Find the mean dividend.

Given: \(n=7\), data points as above.

$$\text{Mean} = \frac{800 + 900 + 850 + 1000 + 950 + 1100 + 1050}{7}$$

$$= \frac{6650}{7}$$

$$= 950 \text{ Ksh}$$

Answer: 950 Ksh

5.1.2 Mode

The mode is the value that appears most frequently in a data set. It is especially useful in cooperative management for identifying the most common loan amount, membership category, or product sold. Mode can be used with nominal, ordinal, or numerical data.

Worked Examples

Example 1: A cooperative records the number of shares held by 10 members: 100, 150, 100, 200, 150, 150, 200, 100, 150, 100. Find the mode.

Given: data points as above.

  • Frequency: 100 (4 times), 150 (4 times), 200 (2 times)

Since 100 and 150 both appear 4 times, the data is bimodal.

Answer: Modes are 100 and 150 shares

Example 2: The loan repayment periods (in months) for 9 members are: 12, 12, 18, 24, 12, 18, 24, 18, 18. Find the mode.

Given: data points as above.

  • Frequency: 12 (3 times), 18 (4 times), 24 (2 times)

Answer: Mode is 18 months

Example 3: A cooperative tracks the most common product sold daily over 7 days: maize, beans, maize, sugar, maize, sugar, beans. Determine the mode.

Given: data points as above.

  • Frequency: maize (3 times), beans (2 times), sugar (2 times)

Answer: Mode is maize

Example 4: Number of dependents per member in a cooperative: 3, 4, 3, 2, 3, 5, 4, 3, 2, 3. Find the mode.

Given: data points as above.

  • Frequency: 3 (5 times), 4 (2 times), 2 (2 times), 5 (1 time)

Answer: Mode is 3 dependents

Example 5: A cooperative’s monthly attendance at meetings over 8 months: 50, 60, 50, 55, 60, 60, 55, 50. Find the mode.

Given: data points as above.

  • Frequency: 50 (3 times), 60 (3 times), 55 (2 times)

Bimodal: 50 and 60

Answer: Modes are 50 and 60 attendees

5.1.3 Median

The median is the middle value in an ordered data set and divides the data into two equal halves. It is particularly useful in cooperative management when data is skewed or contains outliers, such as income levels or loan amounts.

Worked Examples

Example 1: Find the median of member savings (Ksh): 1,000; 3,000; 2,500; 4,000; 3,500.

Given: \(n=5\), data points unordered.

Step 1: Arrange in order: 1000, 2500, 3000, 3500, 4000

Step 2: Median is the middle value (3rd value):

Answer: Median is 3000 Ksh

Example 2: Loan amounts (Ksh) for 6 members: 10,000; 15,000; 12,000; 18,000; 20,000; 16,000.

Given: \(n=6\)

Step 1: Arrange: 10,000; 12,000; 15,000; 16,000; 18,000; 20,000

Step 2: Median is average of 3rd and 4th values:

$$\frac{15000 + 16000}{2} = \frac{31000}{2} = 15500$$

Answer: Median is 15,500 Ksh

Example 3: Monthly sales (Ksh) over 7 months: 50,000; 65,000; 55,000; 70,000; 60,000; 75,000; 80,000.

Given: \(n=7\)

Step 1: Arrange: 50,000; 55,000; 60,000; 65,000; 70,000; 75,000; 80,000

Step 2: Median is 4th value:

Answer: Median is 65,000 Ksh

Example 4: Number of products sold per day over 8 days: 120; 135; 140; 110; 125; 130; 150; 145.

Given: \(n=8\)

Step 1: Arrange: 110; 120; 125; 130; 135; 140; 145; 150

Step 2: Median is average of 4th and 5th values:

$$\frac{130 + 135}{2} = \frac{265}{2} = 132.5$$

Answer: Median is 132.5 products

Example 5: Annual dividend per member (Ksh) for 9 members: 800; 900; 850; 1000; 950; 1100; 1050; 900; 850.

Given: \(n=9\)

Step 1: Arrange: 800; 850; 850; 900; 900; 950; 1000; 1050; 1100

Step 2: Median is 5th value:

Answer: Median is 900 Ksh

Practice Questions

  1. A cooperative’s weekly savings (Ksh) by 7 members are: 1500, 2000, 1800, 2200, 2100, 1900, 1700. Calculate the mean savings. (5 marks)

  2. The number of loans disbursed per month in a SACCO over 9 months is: 12, 15, 12, 14, 15, 15, 13, 12, 15. Find the mode. (5 marks)

  3. Find the median of member contributions (Ksh) recorded as: 5000, 7000, 6500, 6000, 8000, 7500. (5 marks)

  4. A cooperative’s daily sales (units) over 10 days are: 50, 55, 60, 65, 70, 75, 80, 85, 90, 95. Calculate the mean daily sales. (5 marks)

  5. The repayment periods (months) for 11 loans are: 12, 18, 12, 24, 18, 12, 24, 18, 24, 12, 18. Find the mode. (5 marks)

  6. Find the median of the following loan amounts (Ksh): 12000, 15000, 18000, 20000, 16000, 14000, 17000, 13000. (5 marks)

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🔒5.2 Measures of dispersion

Measures of dispersion quantify the spread or variability within a dataset. In Cooperative Management, understanding dispersion helps evaluate the consistency of member contributions, loan repayments, or returns on investments across SACCOs or cooperatives. Di…

🔒5.3 Measures of skewness and kurtosis

In cooperative management, knowing the shape of data distribution is important for decision-making. Skewness indicates data asymmetry, while kurtosis shows the peakedness or tail heaviness of the distribution. These measures help evaluate irregularities in inc…

Chapter Summary

This chapter focused on descriptive statistics, starting with the measures of central tendency which include the mean, mode, and median. The mean provides the average value of a data set, the mode identifies the most frequently occurring value, and the median represents the middle value when data is ordered. Next, the chapter covered measures of dispersion, explaining variance as the average of squared deviations from the mean and standard deviation as the square root of variance, indicating data spread. Finally, the chapter introduced measures of skewness and kurtosis, which describe the asymmetry and peakedness of data distributions respectively. Together, these concepts provide a comprehensive understanding of data characteristics essential for business and statistical analysis.

Self-Assessment

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Written Assessment

  1. A cooperative society records the monthly savings (in Ksh) of 5 members as 1200, 1500, 1800, 2000, and 1700. Calculate the mean monthly savings. (2 marks)

  2. The weekly sales (in Ksh) of a cooperative retail shop for 7 weeks are: 4500, 4600, 4700, 4600, 4800, 4600, 4900. Determine the mode of the weekly sales. (2 marks)

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Chapter Examination Questions

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SECTION A (40 Marks) - Answer ALL Questions

  1. A cooperative society recorded the monthly savings (in Ksh) of 7 members as follows: 1200, 1500, 1600, 1500, 1700, 1500, 1800. Calculate the mode of the savings. (4 marks)
  2. The following data shows the loan amounts (in Ksh) borrowed by 8 cooperative members: 5000, 6000, 5500, 7000, 6000, 6500, 6000, 7200. Find the mean loan amount. (4 marks)
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Am I competent?

At the start of this chapter we promised you would be able to:

  • accurately determine measures of central tendency by following proper work procedures
  • correctly calculate measures of dispersion according to standard work procedures
  • confidently analyze measures of skewness and kurtosis using the required work procedures

Tick each one you can genuinely do.

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