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Candidate Name
Candidate Name

... 6. (c) Correct interpretation of the p-value at the 0.05 significance level e.g. “since the p-value is less than 0.05, there is evidence to suggest we reject the null hypothesis (Ho) (or accept the alternative hypotheses (H1))” 6. (d) For relating the conclusion to the original problem e.g. “there i ...
Hypothesis Testing - Penn State Mechanical Engineering
Hypothesis Testing - Penn State Mechanical Engineering

... rejected. In other words, the null hypothesis is in fact true, but it is rejected erroneously. o A type II error (also called an error of the second kind) occurs when the null hypothesis is wrongly accepted. In other words, the null hypothesis is in fact false, but it is accepted (not rejected) erro ...
Chapter 9
Chapter 9

No Slide Title
No Slide Title

Document
Document

... According to a study published in March, 2006 the mean length of a phone call on a cellular telephone was 3.25 minutes. A researcher believes that the mean length of a call has increased since then. A Type I error occurs if the sample evidence leads the researcher to conclude that >3.25 when, in fa ...
Jeopardy Review
Jeopardy Review

... in fact, the null hypothesis is false. answer ...
Tests of Hypothesis - KFUPM Faculty List
Tests of Hypothesis - KFUPM Faculty List

Slides - dollar
Slides - dollar

Excel Version
Excel Version

...  The reason is science believes any good idea can be replaced with a better idea at any time.  You never prove an idea is true  A better idea may arrive anytime so how do you change if your old idea was proven true?  “Yippee, my horse did not lose” is a odd way of saying it won.  ‘Reject the nu ...
CORP: Minimizing the chances of false positives
CORP: Minimizing the chances of false positives

... hypothesis—we get a false positive— or we can fail to reject a false null hypothesis—we get a false negative.1 We control the chance that we get a false positive when we define the critical significance level ␣, the probability that we reject the null hypothesis given that the null hypothesis is tru ...
Sampling Distribution
Sampling Distribution

P - mathchick.net
P - mathchick.net

chapter 8 - mathchick.net
chapter 8 - mathchick.net

Chapter 9 Hypothesis Testing
Chapter 9 Hypothesis Testing

Hypothesis Testing I
Hypothesis Testing I

Statistical Inference
Statistical Inference

... 9.1 – Introduction to Hypothesis or Significance Testing In several examples we considered in the sections on the binomial distribution and the sampling distribution we made conclusions about what was true of the population based upon a probability. In essence in all of those situations we conducted ...
Week 3 - UCLA.edu
Week 3 - UCLA.edu

Chapter 9
Chapter 9

... The production line for Glow toothpaste is designed to fill tubes of toothpaste with a mean weight of 6 ounces. Periodically, a sample of 30 tubes will be selected in order to check the filling process. Quality assurance procedures call for the continuation of the filling process if the sample resul ...
Chapter 15
Chapter 15

... 1. To become aware of the nature of statistical significance. 2. To understand the concept of hypothesis development and how to test hypotheses. 3. To understand the differences between Type I and Type II errors. 4. To be familiar with several of the more common statistical tests of goodness of fit, ...
Document
Document

Chapter 8 Notes - Mr. Davis Math
Chapter 8 Notes - Mr. Davis Math

... • The Medical Rehabilitation Education Foundation reports that the average cost of rehabilitation for stroke victims is $24,672. To see if the average cost of rehabilitation is different at a particular hospital, a researcher selects a random sample of 35 stroke victims at the hospital and finds tha ...
confhypt0020v01
confhypt0020v01

Hypothesis Testing - Weber State University
Hypothesis Testing - Weber State University

Chapter 8 Exam A.tst
Chapter 8 Exam A.tst

... unknown. He picked a simple random sample of size 20 from the population. Lou wanted to test a claim about a mean of a different population whose standard deviation was known. He picked a simple random sample of size 22 from that population. George said that Sam would need to determine whether his s ...
Natural Language Processing COLLOCATIONS
Natural Language Processing COLLOCATIONS

< 1 ... 3 4 5 6 7 8 9 10 11 ... 21 >

Statistical hypothesis testing

A statistical hypothesis is a hypothesis that is testable on the basis of observing a process that is modeled via a set of random variables. A statistical hypothesis test is a method of statistical inference. Commonly, two statistical data sets are compared, or a data set obtained by sampling is compared against a synthetic data set from an idealized model. An hypothesis is proposed for the statistical relationship between the two data sets, and this is compared as an alternative to an idealized null hypothesis of no relationship between two data sets. The comparison is deemed statistically significant if the relationship between the data sets would be an unlikely realization of the null hypothesis according to a threshold probability—the significance level. Hypothesis tests are used in determining what outcomes of a study would lead to a rejection of the null hypothesis for a pre-specified level of significance. The process of distinguishing between the null hypothesis and the alternative hypothesis is aided by identifying two conceptual types of errors (type 1 & type 2), and by specifying parametric limits on e.g. how much type 1 error will be permitted.An alternative framework for statistical hypothesis testing is to specify a set of statistical models, one for each candidate hypothesis, and then use model selection techniques to choose the most appropriate model. The most common selection techniques are based on either Akaike information criterion or Bayes factor.Statistical hypothesis testing is sometimes called confirmatory data analysis. It can be contrasted with exploratory data analysis, which may not have pre-specified hypotheses.
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