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MATH104 Chapter 12 Statistics 12.1 Intro

MATH104 Chapter 12 Statistics 12.1 Intro. 12.1 Sampling, Frequency Distributions, and Graphs Terms: · Descriptive statistics · Inferential statistics

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Page 1: MATH104 Chapter 12 Statistics 12.1 Intro. 12.1 Sampling, Frequency Distributions, and Graphs Terms: · Descriptive statistics · Inferential statistics

MATH104 Chapter 12

Statistics12.1 Intro

Page 2: MATH104 Chapter 12 Statistics 12.1 Intro. 12.1 Sampling, Frequency Distributions, and Graphs Terms: · Descriptive statistics · Inferential statistics

12.1 Sampling, Frequency Distributions, and Graphs

Terms:· Descriptive statistics· Inferential statistics· Population and sample· Random sampling· Types of sampling

systematicclusterstratified

· Variablesquantitativequalitative

Page 3: MATH104 Chapter 12 Statistics 12.1 Intro. 12.1 Sampling, Frequency Distributions, and Graphs Terms: · Descriptive statistics · Inferential statistics

Ex 1-- Qualitative

• Ex 1: Class example- frequency distribution and a bar graph

Page 4: MATH104 Chapter 12 Statistics 12.1 Intro. 12.1 Sampling, Frequency Distributions, and Graphs Terms: · Descriptive statistics · Inferential statistics

Ex 2-- Quantitative

• Class example- frequency distribution and a histogram

Page 5: MATH104 Chapter 12 Statistics 12.1 Intro. 12.1 Sampling, Frequency Distributions, and Graphs Terms: · Descriptive statistics · Inferential statistics

Ex 3: Summarize the following data73 58 68 75 94 79 96 7987 83 89 52 99 97 89 5995 77 75 81 75 73 73 6269 76 77 71 50 57 41 9877 71 69 90 75 Construct a stem and leaf diagram

Page 6: MATH104 Chapter 12 Statistics 12.1 Intro. 12.1 Sampling, Frequency Distributions, and Graphs Terms: · Descriptive statistics · Inferential statistics

Construct a grouped frequency distribution

73 58 68 75 94 79 96 7987 83 89 52 99 97 89 5995 77 75 81 75 73 73 6269 76 77 71 50 57 41 9877 71 69 90 75

Page 7: MATH104 Chapter 12 Statistics 12.1 Intro. 12.1 Sampling, Frequency Distributions, and Graphs Terms: · Descriptive statistics · Inferential statistics

Comment on Distortions of Data