Variation represents the distribution and dispersion of datasets. It can be measured by three means – the range, inter-quartile range, and standard deviation. The range is a simple measure denoting smaller to higher values. The inter-quartile range measures the variability in 50% of the dataset. Standard deviation is the measure of dispersion; that is, how much the data is spread.

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Chapter 4, Problem 20TYS

Summary Introduction

Introduction: Variation represents the distribution and dispersion of datasets. It can be measured by three means – the range, inter-quartile range, and standard deviation. The range is a simple measure denoting smaller to higher values. The inter-quartile range measures the variability in 50% of the dataset. Standard deviation is the measure of dispersion; that is, how much the data is spread.

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Chapter 4, Problem 20TYS

Summary Introduction

Introduction: Variation represents the distribution and dispersion of datasets. It can be measured by three means – the range, inter-quartile range, and standard deviation. The range is a simple measure denoting smaller to higher values. The inter-quartile range measures the variability in 50% of the dataset. Standard deviation is the measure of dispersion; that is, how much the data is spread.

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Answer 3

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Chapter 4, Problem 20TYS

Summary Introduction

Introduction: Variation represents the distribution and dispersion of datasets. It can be measured by three means – the range, inter-quartile range, and standard deviation. The range is a simple measure denoting smaller to higher values. The inter-quartile range measures the variability in 50% of the dataset. Standard deviation is the measure of dispersion; that is, how much the data is spread.

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Answer 4

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Chapter 4, Problem 20TYS

Summary Introduction

Introduction: Variation represents the distribution and dispersion of datasets. It can be measured by three means – the range, inter-quartile range, and standard deviation. The range is a simple measure denoting smaller to higher values. The inter-quartile range measures the variability in 50% of the dataset. Standard deviation is the measure of dispersion; that is, how much the data is spread.

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Answer 5

Chapter 4, Problem 20TYS

Summary Introduction

Introduction: Variation represents the distribution and dispersion of datasets. It can be measured by three means – the range, inter-quartile range, and standard deviation. The range is a simple measure denoting smaller to higher values. The inter-quartile range measures the variability in 50% of the dataset. Standard deviation is the measure of dispersion; that is, how much the data is spread.

Answer 6

Chapter 4, Problem 20TYS

Summary Introduction

Introduction: Variation represents the distribution and dispersion of datasets. It can be measured by three means – the range, inter-quartile range, and standard deviation. The range is a simple measure denoting smaller to higher values. The inter-quartile range measures the variability in 50% of the dataset. Standard deviation is the measure of dispersion; that is, how much the data is spread.

Answer 7

Chapter 4, Problem 20TYS

Summary Introduction

Introduction: Variation represents the distribution and dispersion of datasets. It can be measured by three means – the range, inter-quartile range, and standard deviation. The range is a simple measure denoting smaller to higher values. The inter-quartile range measures the variability in 50% of the dataset. Standard deviation is the measure of dispersion; that is, how much the data is spread.

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Ch. 4 - Prob. 19TYS Ch. 4 - Prob. 20TYS Ch. 4 - Prob. 21TYS Ch. 4 - Prob. 22TYS

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