'3 standard deviations' presentation slideshows

Review

930 views • 83 slides

Stats Day 22

Stats Day 22. More on Z-Scores. SILENT DO NOW. DO NOW: ACT Half Sheet HW due TOMORROW: Ch. 6 #17-19, 29, 33 , 34. Objective. SWBAT calculate likelihood/probability using a z -score chart

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11-5

Measures of Central Tendency and Variation. 11-5. Warm Up. Lesson Presentation. Lesson Quiz. Holt Algebra 2. Warm Up Simplify each expression. 1. 2. 3. 4. Find the mean and median. 5. 1, 2, 87 6. 3, 2, 1, 10. 11. 30; 2. 4; 2.5. Objectives.

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11-5

Measures of Central Tendency and Variation. 11-5. Warm Up. Lesson Presentation. Lesson Quiz. Holt Algebra 2. Warm Up Simplify each expression. 1. 2. 3. 4. Find the mean and median. 5. 1, 2, 87 6. 3, 2, 1, 10. 11. 30; 2. 4; 2.5. Objectives.

365 views • 36 slides

Chapter 9A. Process Capability & Statistical Quality Control

Chapter 9A. Process Capability & Statistical Quality Control. Outline: Basic Statistics Process Variation Process Capability Process Control Procedures Variable data X-bar chart and R-chart Attribute data p-chart Acceptance Sampling Operating Characteristic Curve. Focus.

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Chapter 9A. Process Capability & Statistical Quality Control

Chapter 9A. Process Capability & Statistical Quality Control. Outline: Basic Statistics Process Variation Process Capability Process Control Procedures Variable data X-bar chart and R-chart Attribute data p-chart Acceptance Sampling Operating Characteristic Curve. Focus.

255 views • 25 slides

Chapter 12

Chapter 12. Statistics. Chapter 12: Statistics. 12.1 Visual Displays of Data 12.2 Measures of Central Tendency 12.3 Measures of Dispersion 12.4 Measures of Position 12.5 The Normal Distribution. Section 12-3. Measures of Dispersion. Measures of Dispersion. Find the range of a data set.

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Exploring Normal Distributions with the EMPIRICAL RULE

Exploring Normal Distributions with the EMPIRICAL RULE. Normal Distribution. A normal distribution is a continuous, symmetrical, bell-shaped distribution of a variable. Characteristics of Normal Distribution. 1. A normal distribution curve is bell-shaped.

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Data Analysis and Statistics

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Learning Objectives for Section 11.3 Measures of Dispersion

Learning Objectives for Section 11.3 Measures of Dispersion. The student will be able to compute the range of a set of data. The student will be able to compute the standard deviation for both grouped and ungrouped data.

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The Normal distribution

The Normal distribution. and the 68-95-99.7 Rule. skewed distributions & outliers. Normal = typical. This is valuable information when studying human behavior

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Impact Area

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2.2: Normal Distributions

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How do you know what you know?

How do you know what you know?. How do you know what you know? Maybe you can measure something directly. You can interpret what you have measured within the context of some physical or statistical model. You can accept the authority of some published work

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STA 291 Winter 09/10

STA 291 Winter 09/10. Lecture 4 Dustin Lueker. Continuous Probability Distribution. Can not list all possible values with probabilities Probabilities are assigned to intervals of numbers Probability of an individual number is 0 Probabilities have to be between 0 and 1

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A.P. Psychology Statistics Notes

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The 68-95-99.7% Rule and z-scores

935 views • 11 slides

7.4 M2 Normal Distributions EQ:

7.4 M2 Normal Distributions EQ: How do you find the probability of an event given that the data is normally distributed and its mean and standard deviation are known?. The Normal Curve - Characteristics.

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Thinking Mathematically

Thinking Mathematically. The Normal Distribution. The 68-95-99.7 Rule for the Normal Distribution. Approximately 68% of the measurements will fall within 1 standard deviation of the mean. Approximately 95% of the measurements will fall within 2 standard deviations of the mean.

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Topic 17

178 views • 7 slides