Vocabulary Types of Data Samples Conclusion MATH 105: Finite Mathematics 9-1: Introduction to Statistics Prof. Jonathan Duncan Walla Walla College Winter Quarter, 2006
Vocabulary Types of Data Samples Conclusion Outline Vocabulary 1 Types of Data 2 Samples 3 Conclusion 4
Vocabulary Types of Data Samples Conclusion Outline Vocabulary 1 Types of Data 2 Samples 3 Conclusion 4
Vocabulary Types of Data Samples Conclusion Statistics vs. Probability We just several chapters on probability. Probability involves taking a general rule and using it to make guesses about the outcome of a specific event. Example Using probability rules you determine that the expected value of rolling a single die is 3.5 ( 1 6 (1) + 1 6 (2) + . . . + 1 6 (6)) Example You roll the die 100 times and take the average of the rolls to determine what the typical roll of the die will be.
Vocabulary Types of Data Samples Conclusion Statistics vs. Probability We just several chapters on probability. Probability involves taking a general rule and using it to make guesses about the outcome of a specific event. Example Using probability rules you determine that the expected value of rolling a single die is 3.5 ( 1 6 (1) + 1 6 (2) + . . . + 1 6 (6)) Example You roll the die 100 times and take the average of the rolls to determine what the typical roll of the die will be.
Vocabulary Types of Data Samples Conclusion Statistics vs. Probability We just several chapters on probability. Probability involves taking a general rule and using it to make guesses about the outcome of a specific event. Example Using probability rules you determine that the expected value of rolling a single die is 3.5 ( 1 6 (1) + 1 6 (2) + . . . + 1 6 (6)) In this chapter we look at statistics which work in reverse. We take specific sets of data and try to generalize what we find to the entire Example You roll the die 100 times and take the average of the rolls to determine what the typical roll of the die will be.
Vocabulary Types of Data Samples Conclusion Statistics vs. Probability We just several chapters on probability. Probability involves taking a general rule and using it to make guesses about the outcome of a specific event. Example Using probability rules you determine that the expected value of rolling a single die is 3.5 ( 1 6 (1) + 1 6 (2) + . . . + 1 6 (6)) In this chapter we look at statistics which work in reverse. We take specific sets of data and try to generalize what we find to the entire Example You roll the die 100 times and take the average of the rolls to determine what the typical roll of the die will be.
Vocabulary Types of Data Samples Conclusion Statistical Process The Statistical Process The statistical process involves the following steps. 1 Collecting data from a sample of individuals in a population. 2 Analyzing that data by graphing , finding measures of center and spread , and more. 3 Making inferences from the data. Example To determine the P:resident’s approval rating a polling company: 1 calls a chosen group of voters. 2 compiles the data to determine what percent approve. 3 infers that the country in general has the same opinion as those sampled with an error of ± x %.
Vocabulary Types of Data Samples Conclusion Statistical Process The Statistical Process The statistical process involves the following steps. 1 Collecting data from a sample of individuals in a population. 2 Analyzing that data by graphing , finding measures of center and spread , and more. 3 Making inferences from the data. Example To determine the P:resident’s approval rating a polling company: 1 calls a chosen group of voters. 2 compiles the data to determine what percent approve. 3 infers that the country in general has the same opinion as those sampled with an error of ± x %.
Vocabulary Types of Data Samples Conclusion Statistical Process The Statistical Process The statistical process involves the following steps. 1 Collecting data from a sample of individuals in a population. 2 Analyzing that data by graphing , finding measures of center and spread , and more. 3 Making inferences from the data. Example To determine the P:resident’s approval rating a polling company: 1 calls a chosen group of voters. 2 compiles the data to determine what percent approve. 3 infers that the country in general has the same opinion as those sampled with an error of ± x %.
Vocabulary Types of Data Samples Conclusion Statistical Process The Statistical Process The statistical process involves the following steps. 1 Collecting data from a sample of individuals in a population. 2 Analyzing that data by graphing , finding measures of center and spread , and more. 3 Making inferences from the data. Example To determine the P:resident’s approval rating a polling company: 1 calls a chosen group of voters. 2 compiles the data to determine what percent approve. 3 infers that the country in general has the same opinion as those sampled with an error of ± x %.
Vocabulary Types of Data Samples Conclusion Statistical Process The Statistical Process The statistical process involves the following steps. 1 Collecting data from a sample of individuals in a population. 2 Analyzing that data by graphing , finding measures of center and spread , and more. 3 Making inferences from the data. Example To determine the P:resident’s approval rating a polling company: 1 calls a chosen group of voters. 2 compiles the data to determine what percent approve. 3 infers that the country in general has the same opinion as those sampled with an error of ± x %.
Vocabulary Types of Data Samples Conclusion Statistical Process The Statistical Process The statistical process involves the following steps. 1 Collecting data from a sample of individuals in a population. 2 Analyzing that data by graphing , finding measures of center and spread , and more. 3 Making inferences from the data. Example To determine the P:resident’s approval rating a polling company: 1 calls a chosen group of voters. 2 compiles the data to determine what percent approve. 3 infers that the country in general has the same opinion as those sampled with an error of ± x %.
Vocabulary Types of Data Samples Conclusion Statistical Process The Statistical Process The statistical process involves the following steps. 1 Collecting data from a sample of individuals in a population. 2 Analyzing that data by graphing , finding measures of center and spread , and more. 3 Making inferences from the data. Example To determine the P:resident’s approval rating a polling company: 1 calls a chosen group of voters. 2 compiles the data to determine what percent approve. 3 infers that the country in general has the same opinion as those sampled with an error of ± x %.
Vocabulary Types of Data Samples Conclusion Statistical Process The Statistical Process The statistical process involves the following steps. 1 Collecting data from a sample of individuals in a population. 2 Analyzing that data by graphing , finding measures of center and spread , and more. 3 Making inferences from the data. Example To determine the P:resident’s approval rating a polling company: 1 calls a chosen group of voters. 2 compiles the data to determine what percent approve. 3 infers that the country in general has the same opinion as those sampled with an error of ± x %.
Vocabulary Types of Data Samples Conclusion Outline Vocabulary 1 Types of Data 2 Samples 3 Conclusion 4
Vocabulary Types of Data Samples Conclusion So What do we Study? Vocabulary data information about a particular characteristic of a population. variable a measurable characteristic which can be: discrete – space between values continuous – can assume any value Example Mark each variable D iscrete or C ontinuous. 1 Number of “green clovers” in a box of Lucky Charms 2 Height of a MATH 105 student 3 Number of cars crossing an intersection in an hour 4 How long Junior class members can hold their breath
Vocabulary Types of Data Samples Conclusion So What do we Study? Vocabulary data information about a particular characteristic of a population. variable a measurable characteristic which can be: discrete – space between values continuous – can assume any value Example Mark each variable D iscrete or C ontinuous. 1 Number of “green clovers” in a box of Lucky Charms 2 Height of a MATH 105 student 3 Number of cars crossing an intersection in an hour 4 How long Junior class members can hold their breath
Vocabulary Types of Data Samples Conclusion So What do we Study? Vocabulary data information about a particular characteristic of a population. variable a measurable characteristic which can be: discrete – space between values continuous – can assume any value Example Mark each variable D iscrete or C ontinuous. 1 Number of “green clovers” in a box of Lucky Charms 2 Height of a MATH 105 student 3 Number of cars crossing an intersection in an hour 4 How long Junior class members can hold their breath
Vocabulary Types of Data Samples Conclusion So What do we Study? Vocabulary data information about a particular characteristic of a population. variable a measurable characteristic which can be: discrete – space between values continuous – can assume any value Example Mark each variable D iscrete or C ontinuous. 1 Number of “green clovers” in a box of Lucky Charms (D) 2 Height of a MATH 105 student 3 Number of cars crossing an intersection in an hour 4 How long Junior class members can hold their breath
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