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Arithmetic mean | discrete series | direct method | business statistics
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Arithmetic mean | discrete series | direct method | business statistics | mean question solution | MBA 1st
Mean Chapter:
*Mean:*
The mean, also known as the arithmetic mean, is a measure of central tendency that calculates the average value of a dataset.
*Formula:*
Mean = (Sum of all values) / (Total number of values)
*Types of Mean:*
1. Simple Mean (Arithmetic Mean)
2. Weighted Mean
3. Geometric Mean
4. Harmonic Mean
*Calculation Steps:*
1. Add up all the values in the dataset.
2. Count the total number of values.
3. Divide the sum by the count.
*Example:*
Dataset: 2, 4, 6, 8, 10
Mean = (2 + 4 + 6 + 8 + 10) / 5
Mean = 30 / 5
Mean = 6
*Importance:*
1. Represents the central tendency of the data.
2. Helps in understanding the average value.
3. Used in statistical analysis and decision-making.
*Applications:*
1. Business: Average sales, average profit.
2. Economics: GDP growth rate, inflation rate.
3. Social Sciences: Average age, average income.
MCOB MBA Key Terms:
1. Mean
2. Central Tendency
3. Arithmetic Mean
4. Average
5. Statistical Analysis
6. Data Interpretation
7. Descriptive Statistics
8. Inferential Statistics
*Related Concepts:*
1. Median
2. Mode
3. Standard Deviation
4. Variance
5. Range
6. Interquartile Range (IQR)
7. Skewness
8. Kurtosis
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Mean Chapter:
*Mean:*
The mean, also known as the arithmetic mean, is a measure of central tendency that calculates the average value of a dataset.
*Formula:*
Mean = (Sum of all values) / (Total number of values)
*Types of Mean:*
1. Simple Mean (Arithmetic Mean)
2. Weighted Mean
3. Geometric Mean
4. Harmonic Mean
*Calculation Steps:*
1. Add up all the values in the dataset.
2. Count the total number of values.
3. Divide the sum by the count.
*Example:*
Dataset: 2, 4, 6, 8, 10
Mean = (2 + 4 + 6 + 8 + 10) / 5
Mean = 30 / 5
Mean = 6
*Importance:*
1. Represents the central tendency of the data.
2. Helps in understanding the average value.
3. Used in statistical analysis and decision-making.
*Applications:*
1. Business: Average sales, average profit.
2. Economics: GDP growth rate, inflation rate.
3. Social Sciences: Average age, average income.
MCOB MBA Key Terms:
1. Mean
2. Central Tendency
3. Arithmetic Mean
4. Average
5. Statistical Analysis
6. Data Interpretation
7. Descriptive Statistics
8. Inferential Statistics
*Related Concepts:*
1. Median
2. Mode
3. Standard Deviation
4. Variance
5. Range
6. Interquartile Range (IQR)
7. Skewness
8. Kurtosis
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