# 'Standard normal distribution' diaporamas de présentation

## Confidence Intervals

Chapter 6. Confidence Intervals. Confidence Intervals for the Mean (Small Samples). § 6.2. The t - Distribution. When a sample size is less than 30, and the random variable x is approximately normally distributed, it follow a t - distribution. Properties of the t -distribution.

By obert
(122 views)

## Statistics

Statistics. Chapter 10. 10.1 Organizing and Picturing Information. Line Plot: A line plot is a basic and intuitive visual representation of data. 16. 14. 12. 10. Frequency. 8. 6. 4. 2. 10. 20. 30. 40. 50. 60. 70. 80. 90. 100. Student Test Scores.

By temple
(151 views)

## 5.2 The Standard Normal Distribution

5.2 The Standard Normal Distribution. Statistics Mrs. Spitz Fall 2008. Objectives/Assignment. How to find and interpret standard z-scores and how to find the value of a variable when its standard score is given

By kamaria
(4 views)

By shufang
(129 views)

## Non-life insurance mathematics

Non-life insurance mathematics. Nils F. Haavardsson, University of Oslo and DNB Skadeforsikring. Solvency. Financial control of liabilities under nearly worst-case scenarios Target: the reserve which is the upper percentile of the portfolio liability

By brenna
(190 views)

## Section 6.2 PART 1 STATISTICS

Section 6.2 PART 1 STATISTICS. Notes – Section 6.2 PART 1 Standard Units and Areas Under the Standard Normal Distribution Homework due Tuesday: A#6.21 pages 256 – 258 #8 - 28 even. Monday February 24. Section 6.2 – Standard Units and Areas Under the Standard Normal Distributions.

By lynley
(133 views)

## Section 6.3

With a few little improvements and extras by D.R.S, University of Cordele. Section 6.3. Finding Probability Using a Normal Distribution IMPORTANT: “Area” is “_____________” IMPORTANT: “Probability” is “_________”. Kinds of Problems: “Find the probability that…”.

By ama
(115 views)

## Continuous Probability Distributions

Continuous Probability Distributions. Chapter 7. GOALS. Understand the difference between discrete and continuous distributions. Compute the mean and the standard deviation for a uniform distribution . Compute probabilities by using the uniform distribution.

By connor
(121 views)

## Market Risk and Value at Risk

Market Risk and Value at Risk. Finance 129. Market Risk. Macroeconomic changes can create uncertainty in the earnings of the Financial institutions trading portfolio . Important because of the increased emphasis on income generated by the trading portfolio.

By moeshe
(179 views)

## Chapter 12

Chapter 12. Asking and Answering Questions About A Population Mean. Created by Kathy Fritz. Let's review some statistical notation. n the sample size. the mean of a sample. s the standard deviation of a sample. m the mean of the entire population.

By riva
(212 views)

## Slides by Spiros Velianitis CSUS

Slides by Spiros Velianitis CSUS. Review Objective. The objective of this section is to ensure that you have the necessary foundation in statistics so that you can maximize your learning in data analysis. Hopefully , much of this material will be review.

By terah
(190 views)

## Normal Distribution

Normal Distribution. What is Normal (Gaussian) Distribution?. The normal distribution is a descriptive model that describes real world situations.

By tavita
(106 views)

## t-Tests

t-Tests. Interval Estimation and the t Distribution. Large Sample z-Test. Sometimes we have reason to test hypotheses involving specific values for the mean. Example 1. Claim: On average, people sleep less than the often recommended eight hours per night.

By nodin
(107 views)

## Week 7

Week 7. Sample Means & Proportions. Variability of Summary Statistics. Variability in shape of distn of sample Variability in summary statistics Mean, median, st devn, upper quartile, … Summary statistics have distributions. Parameters and statistics.

By oneida
(163 views)

## The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE

Chapter 8: Estimating with Confidence. Section 8.3 Estimating a Population Mean. The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE. Chapter 8 Estimating with Confidence. 8.1 Confidence Intervals: The Basics 8.2 Estimating a Population Proportion

By fineen
(116 views)

## 8.3 Estimating a Population Mean

2/5/2014. 8.3 Estimating a Population Mean. Section 8.3 Estimating a Population Mean. Learning Objectives. After this section, you should be able to… CONSTRUCT and INTERPRET a confidence interval for a population mean

By rex
(144 views)

## Chapter 8: Estimating with Confidence

Chapter 8: Estimating with Confidence. Section 8.3 Estimating a Population Mean. The One-Sample z Interval for a Population Mean In Section 8.1, we estimated the “mystery mean” µ by constructing a confidence interval using the sample mean = 240.79.

By beate
(251 views)

## Chapter 8 Estimating with Confidence

Chapter 8 Estimating with Confidence. 8.1 Confidence Intervals: The Basics 8.2 Estimating a Population Proportion 8.3 Estimating a Population Mean. Section 8.3 Estimating a Population Mean. Learning Objectives. After this section, you should be able to…

By aron
(242 views)

## The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE

Chapter 8: Estimating with Confidence. Section 8.3 Estimating a Population Mean. The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE. Chapter 8 Estimating with Confidence. 8.1 Confidence Intervals: The Basics 8.2 Estimating a Population Proportion

By yaakov
(116 views)

## Probability Distributions

Probability Distributions. Random Variable A numerical outcome of a random experiment Can be discrete or continuous Generically, x Probability Distribution The pattern of probabilities associated with all of the random variables for a specific experiment Can be a table, formula, or graph

By tekla
(117 views)

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