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Larson farber 4th ed - PowerPoint PPT Presentation

Chapter 1

Chapter 1

Chapter 1. Introduction to Statistics. Chapter Outline. 1.1 What is Statistics? 1.2 Random Samples 1.3 Experimental Design. Section 1.1. What is Statistics?. Section 1.1 Objectives. Define statistics Define individual/observational unit Distinguish between a population and a sample

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1.55k views • 92 slides
Section 2.5

Section 2.5

Section 2.5. Measures of Position. Larson/Farber 4th ed. Section 2.5 Objectives. Determine the quartiles of a data set Determine the interquartile range of a data set Create a box-and-whisker plot Interpret other fractiles such as percentiles

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331 views • 20 slides
Do Now

Do Now

Do Now.

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183 views • 18 slides
Section 6.2

Section 6.2

Section 6.2. Confidence Intervals for the Mean (Small Samples). Section 6.2 Objectives. Interpret the t- distribution and use a t -distribution table Construct confidence intervals when n < 30, the population is normally distributed, and ? is unknown. The t -Distribution.

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170 views • 17 slides
Section 3.3

Section 3.3

Section 3.3. Addition Rule. Section 3.3 Objectives. Determine if two events are mutually exclusive Use the Addition Rule to find the probability of two events. A. B. Mutually Exclusive Events. Mutually exclusive Two events A and B cannot occur at the same time. A. B.

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347 views • 16 slides
Section 3.3

Section 3.3

Section 3.3. Addition Rule. Section 3.3 Objectives. Determine if two events are mutually exclusive. Use the Addition Rule to find the probability of two events. A. B. Mutually Exclusive Events. Mutually exclusive Two events A and B cannot occur at the same time. A. B.

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238 views • 16 slides
Section 3.3

Section 3.3

Section 3.3. Addition Rule. Larson/Farber 4th ed. Section 3.3 Objectives. Determine if two events are mutually exclusive Use the Addition Rule to find the probability of two events. Larson/Farber 4th ed. A. A. B. B. Mutually Exclusive Events. Mutually exclusive

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282 views • 16 slides
Section 3.3

Section 3.3

Section 3.3. Addition Rule. Section 3.3 Objectives. Determine if two events are mutually exclusive Use the Addition Rule to find the probability of two events. Assignment. pp. 129-131 #1-18. A. B. Mutually Exclusive Events. Mutually exclusive

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260 views • 16 slides
Section 5.3

Section 5.3

Section 5.3. Normal Distributions: Finding Values. Section 5.3 Objectives. Find a z -score given the area under the normal curve Transform a z -score to an x -value Find a specific data value of a normal distribution given the probability. Finding values Given a Probability.

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226 views • 14 slides
Section 9.2

Section 9.2

Section 9.2. Linear Regression. Section 9.2 Objectives. Find the equation of a regression line Predict y -values using a regression equation. Regression lines.

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226 views • 14 slides
Section 5.3

Section 5.3

Section 5.3. Normal Distributions: Finding Values. Section 5.3 Objectives. Find a z -score given the area under the normal curve Transform a z -score to an x -value Find a specific data value of a normal distribution given the probability. Finding values Given a Probability.

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216 views • 14 slides
Distributions: The nature or shape of the data within its range.

Distributions: The nature or shape of the data within its range.

Distributions: The nature or shape of the data within its range. E ssentials: Distribution Shapes ( Lots of them , but we will focus on three main types.). Be able to explain what constitutes a distribution. Be able to identify Left, Right and Normal distributions (and a Uniform distribution).

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81 views • 8 slides
10.1: Multinomial Experiments

10.1: Multinomial Experiments

10.1: Multinomial Experiments. Multinomial experiment A probability experiment consisting of a fixed number of trials in which there are more than two possible outcomes for each independent trial. A binomial experiment had only two possible outcomes.

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67 views • 6 slides

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