Chapter 1

# Chapter 1 - Rule of Multiplication If events A and B come...

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Chapter 1 Types of Data : Quantitative (numbers), Qualitative (Categorical in nature) Data Collection Methods : 1. Observational 2. Published source 3. Survey 4. Designed Experiment Problems With nonrandom samples : 1. Selection Bias 2. Nonresponse Bias 3. Measurement Error Chapter 2 Qualitative Graphs: Pie Chart, Bar Graph, Pareto Graph Graphing Quantitative: dot plot, stem and leaf, histogram, scatter plot (2 variables). Key Symbols: Sample: x(mean), ̄ s² (variance), S (Std. Dev.) Population: μ (mean), σ² (Variance), σ (Std. Dev.) Chapter 3 Mutually Exclusive: share no common points, Collectively exclusive: The probability that Event A occurs,  given that Event B has occurred (P(A|B)). The probability that event A will not  occur is denoted by P(A').

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Unformatted text preview: Rule of Multiplication If events A and B come from the same sample space, the probability that both A and B occur is equal to the probability the event A occurs times the probability that B occurs, given that A has occurred P(A ∩ B) = P(A) P(B|A). Rule of Addition If events A and B come from the same sample space, the probability that event A and/or event B occur is equal to the probability that event A occurs plus the probability that event B occurs minus the probability that both events A and B occur P(A ∪ B) = P(A) + P(B) - P(A ∩ B). Symbols: P(A ∩ B) (both A and B), P(A ∪ B) (union, either A or B can occur) Chapter 4 Discrete: countable, Continuous: infinite; can’t count)...
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Chapter 1 - Rule of Multiplication If events A and B come...

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