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Summary Measures of Ungrouped Numerical Data

Summary Measures of Ungrouped Numerical Data

Summary Measures of Ungrouped Numerical Data. Comparing Data Sets with respect to:. Location. Variability. (Dispersion). Shape. Calculation and Properties of Some Measures of Location of Ungrouped Numerical Data. Location Measures Measures of Central Tendency

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986 views • 65 slides
Chapter 3 Using Statistics to Summarize Data Sets

Chapter 3 Using Statistics to Summarize Data Sets

Chapter 3 Using Statistics to Summarize Data Sets. Chapter 3 Using Statistics to Summarize Data Sets. 3.1 Introduction 3.2 Sample Mean 3.3 Sample Median 3.4 Sample Mode 3.5 Sample Variance and Sample Standard Deviation 3.6 Normal Data Sets and the Empirical Rule ( ???? )

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740 views • 59 slides
Expensed and Capitalized Intangibles and Firm Productivity: A Panel Data Assessment

Expensed and Capitalized Intangibles and Firm Productivity: A Panel Data Assessment

by Maria Elena Bontempi, Jacques Mairesse. Expensed and Capitalized Intangibles and Firm Productivity: A Panel Data Assessment. Motivation (1).

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450 views • 35 slides
Statistical Description of Data

Statistical Description of Data

Statistical Description of Data. Mohamed Abdel-Azim. Introduction. Data consist of numbers, of course. But these numbers are given to the computer, not produced by it.

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279 views • 27 slides
Sampling Distribution of the Mean

Sampling Distribution of the Mean

Sampling Distribution of the Mean. Sampling Distribution of the Mean. It is not necessary to use the finite population correction factor even when the population is finite if the sample size is less than or equal to 5% of the population (n/N < .05). Properties of the Standard Error.

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987 views • 27 slides
Sampling Distributions What is a sampling distribution?

Sampling Distributions What is a sampling distribution?

Sampling Distributions What is a sampling distribution?. Section 7.1 Reference Text: The Practice of Statistics , Fourth Edition. Starnes, Yates, Moore. Objectives. Parameter and Statistic Lets define some variables Sampling variability

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291 views • 27 slides
Economics 105: Statistics

Economics 105: Statistics

Economics 105: Statistics. Go over GH 11 & 12 GH 13 & 14 due Thursday. Hypothesis Testing for ? Using t.

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386 views • 19 slides
Using a sample to make a point estimate

Using a sample to make a point estimate

Using a sample to make a point estimate. Stage 1 Statistics students from Auckland university. Stage 1 Statistics Data. Internet based survey Stage 1 students at Auckland University in 2009

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259 views • 19 slides
Common Non-Parametric Methods for Comparing Two Samples

Common Non-Parametric Methods for Comparing Two Samples

Common Non-Parametric Methods for Comparing Two Samples. (Session 20). Learning Objectives. At the end of this session, you will be able to Understand the type of logic behind common non-parametric tests for comparing two groups based on ranks

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315 views • 18 slides
NUMERICAL DESCRIPTIVE STATISTICS Measures of Central Tendency

NUMERICAL DESCRIPTIVE STATISTICS Measures of Central Tendency

NUMERICAL DESCRIPTIVE STATISTICS Measures of Central Tendency. MEASURES OF CENTRAL TENDENCY. The following are typical measures of central tendency for a population Mean -- the average Median -- the middle observation after the data has been ordered

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305 views • 18 slides
How corporate governance affects dividend policy under both agency problems and external financing constraints?

How corporate governance affects dividend policy under both agency problems and external financing constraints?

How corporate governance affects dividend policy under both agency problems and external financing constraints?. Joon Chae, Sungmin Kim and Eunjung Lee December 11, 2008. Motivation. Two typical problems under information asymmetry

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368 views • 16 slides
Probability and Statistics for Engineers

Probability and Statistics for Engineers

Probability and Statistics for Engineers. Descriptive Statistics Measures of Central Tendency Measures of Variability Probability Distributions Discrete Continuous Statistical Inference Design of Experiments Regression. Descriptive Statistics.

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144 views • 14 slides
Frequency Distribution

Frequency Distribution

Frequency Distribution. A Frequency Distribution organizes data into classes, or categories, with a count of the number of observations that fall into each class. Characteristics of Classes. Class Limits; smallest and largest observed values that can belong to a class Boundaries;

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826 views • 11 slides
Frequency Distribution

Frequency Distribution

Frequency Distribution. A Frequency Distribution organizes data into classes, or categories, with a count of the number of observations that fall into each class. Characteristics of Classes. Class Limits; smallest and largest observed values that can belong to a class Boundaries;

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208 views • 11 slides
Finding the Sample Median

Finding the Sample Median

Finding the Sample Median. Find the sample median x. ~. Illustration A: An odd number of data. Given : The distance, in feet, run in five seconds by second graders during a fitness evaluation test was recorded as:. 41,. 48,. 27,. 55,. 31,. 45,. 51. Ranking the Data. 3rd. 5th.

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396 views • 10 slides
Announcements

Announcements

Announcements. Homework 3 and Homework 4 grades and solutions were already posted on Carmen.osu.edu website. Homework 5 (4.2, 4.6, 4.12, 4.24, 4.32, 4.40, 4.50, 4.60 in Chapter 4 ) is due Wednesday (10/17). Exam 1 is on Friday (10/19) in lecture. Exam 1 covers Chapters 1-4 and 6

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308 views • 8 slides
The field of statistics deals with the collection,

The field of statistics deals with the collection,

The field of statistics deals with the collection, presentation, analysis, and use of data to make decisions and solve problems. Statistical techniques can be used to describe and understand variability. IME 301. Inferential statistics makes a decision about a particular population.

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56 views • 4 slides

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