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Hypotheses Testing

Hypotheses Testing

Hypotheses Testing Example 1 We have tossed a coin 50 times and we got k = 19 heads Should we accept/reject the hypothesis that p = 0.5 (the coin is fair) Null versus Alternative Null hypothesis (H 0 ): p = 0.5

By Patman
(326 views)

Research Methods & Design in Psychology

Research Methods & Design in Psychology

Lecture 3 Descriptives & Graphing Lecturer: James Neill Research Methods & Design in Psychology Overview Univariate descriptives & graphs Non-parametric vs. parametric Non-normal distributions Properties of normal distributions Graphing relations b/w 2 and 3 variables

By jaden
(713 views)

DMI Modeling Systems And Plans For CEEH Activities

DMI Modeling Systems And Plans For CEEH Activities

C. Energy Environment Health. DMI Modeling Systems And Plans For CEEH Activities. Gross, A. Baklanov, U. S. Korsholm, J. H. Sørensen, A. Mahura & A. Rasmussen. Content:. Off-Line Air Pollution Modeling On-Line Air Pollution Modeling

By Donna
(247 views)

Approximations to Probability Distributions: Limit Theorems

Approximations to Probability Distributions: Limit Theorems

Approximations to Probability Distributions: Limit Theorems. Sequences of Random Variables. Interested in behavior of functions of random variables such as means, variances, proportions For large samples, exact distributions can be difficult/impossible to obtain

By johana
(251 views)

Continuous Probability Distributions

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 Audrey
(179 views)

Survey Methodology Sampling error and sample size

Survey Methodology Sampling error and sample size

Survey Methodology Sampling error and sample size. EPID 626 Lecture 4. Lecture overview. Finish discussion of nonprobability sampling Discuss sampling error Discuss sample sizes Some practical exercises. Nonprobability sampling designs.

By Leo
(318 views)

ERLPM Workshop Statistical Analysis

ERLPM Workshop Statistical Analysis

32 nd Eastern Region Annual Airports Conference. ERLPM Workshop Statistical Analysis. Carl Steinhauer Consultant. Limit # of samples Statistical Analysis Estimate average and % within limits. Analysis % Taller than 5’-5” % between 5’-5” and 6’-5” Average Height. Overview.

By arleen
(217 views)

Starting point for generating other distributions

Starting point for generating other distributions

Starting point for generating other distributions. Normal Distribution. Commonly used – processes where many random variables are added results in normal distribution. Lognormal Distribution. Perhaps not as commonly recognized or used as the

By andrew
(269 views)

Continuous Probability Distributions

Continuous Probability Distributions

Continuous Probability Distributions. Continuous Random Variables and Probability Distributions. Random Variable: Y Cumulative Distribution Function (CDF): F ( y )=P( Y ≤ y ) Probability Density Function (pdf): f ( y )=d F ( y )/d y Rules governing continuous distributions:

By Samuel
(273 views)

Research Methods & Design in Psychology

Research Methods & Design in Psychology

Lecture 3 Descriptives & Graphing Lecturer: James Neill. Research Methods & Design in Psychology. Overview. Univariate descriptives & graphs Non-parametric vs. parametric Non-normal distributions Properties of normal distributions Graphing relations b/w 2 and 3 variables.

By Faraday
(252 views)

Moment Generating Functions

Moment Generating Functions

Moment Generating Functions. The Uniform distribution from a to b. Continuous Distributions. The Normal distribution (mean m , standard deviation s ). The Exponential distribution. Weibull distribution with parameters a and b . The Weibull density, f ( x ). ( a = 0.9, b = 2).

By niveditha
(1499 views)

Numbers

Numbers

Numbers. Numbers mean different things in different situations. Consider three answers that appear to be identical but are not. “What number were you wearing in the race?” “5” What place did you finish in ?” “5” How many minutes did it take you to finish?” “5”. Number Scales. Nominal Scale

By maitland
(189 views)

CPSC 531:Input Modeling

CPSC 531:Input Modeling

CPSC 531:Input Modeling. Instructor: Anirban Mahanti Office: ICT 745 Email: mahanti@cpsc.ucalgary.ca Class Location: TRB 101 Lectures: TR 15:30 – 16:45 hours Class web page: http://pages.cpsc.ucalgary.ca/~mahanti/teaching/F05/CPSC531

By lihua
(280 views)

The Rotary Youth Exchange Experience: Culture Shock and Reverse Culture Shock

The Rotary Youth Exchange Experience: Culture Shock and Reverse Culture Shock

The Rotary Youth Exchange Experience: Culture Shock and Reverse Culture Shock. YEO Pre-Convention Meeting Montreal, 2010 Dennis White and Justin Burnett .

By tybalt
(444 views)

Chapter 5: Continuous Random Variables

Chapter 5: Continuous Random Variables

Chapter 5: Continuous Random Variables. Where We’ve Been. Using probability rules to find the probability of discrete events Examined probability models for discrete random variables. Where We’re Going. Develop the notion of a probability distribution for a continuous random variable

By annalise
(556 views)

Linear Discriminant Analysis and Its Variations

Linear Discriminant Analysis and Its Variations

Linear Discriminant Analysis and Its Variations. Abu Minhajuddin CSE 8331. Department of Statistical Science Southern Methodist University April 27, 2002. Plan…. The Problem Linear Discriminant Analysis Quadratic Discriminant Analysis Other Extensions Evaluation of the Method

By zev
(241 views)

Materials for Lecture 08

Materials for Lecture 08

Materials for Lecture 08. Chapters 4 and 5 Chapter 16 Sections 3.2-3.7.3 Lecture 08 Bernoulli . xlsx Lecture 08 Normality Test.xls Lecture 08 Simulation Model with Simetar.xlsx Lecture 08 Normal.xls Lecture 08 Simulate a Reg Model.xls. Stochastic Simulation.

By cheryl
(340 views)

About the Exam

About the Exam

About the Exam. No cheat sheet Bring a calculator You may NOT use the calculator on your phone or iPad or computer or other media device Short essay answers Math problems to be solved Know all materials covered including last Thursday’s lecture on simulation

By mignon
(170 views)

Confidence Intervals for Population Means

Confidence Intervals for Population Means

Confidence Intervals for Population Means. BUSA 2100, Sections 8.1, 8.2. Estimation Process. Point estimates are single numbers, e.g. X-bar = $35,000. Point estimates should be close to the true population mean (or proportion), but are almost never exactly equal.

By aulii
(252 views)

NEW MODELS FOR HIGH AND LOW FREQUENCY VOLATILITY

NEW MODELS FOR HIGH AND LOW FREQUENCY VOLATILITY

NEW MODELS FOR HIGH AND LOW FREQUENCY VOLATILITY. Robert Engle NYU Salomon Center Derivatives Research Project. FORECASTING WITH GARCH. DJ RETURNS. DOW JONES SINCE 1990. Dependent Variable: DJRET Method: ML - ARCH (Marquardt) - Normal distribution Date: 01/13/05 Time: 14:30

By redell
(160 views)

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