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Basic Statistical Concepts - James Madison University
Basic Statistical Concepts - James Madison University

... H0 : “prior belief” statement. Ha : a statement that contradicts H0 . A test of hypothesis is a method for using sample data to decide whether H0 should be rejected. test statistic: a function of sample data on which the decision (reject H0 or do not reject H0 ) is to be based. rejection region: The ...
The t-test
The t-test

1 SAMPLE SIGN TEST
1 SAMPLE SIGN TEST

Lecture note
Lecture note

... Testing the Population Variance • Example 12.3 (operation management application) – A container-filling machine is believed to fill 1 liter containers so consistently, that the variance of the filling will be less than 1 cc (.001 liter). – To test this belief a random sample of 25 1-liter fills was ...
StpT3Key - Arizona State University
StpT3Key - Arizona State University

AP Statistics: Section 8.1B Normal Approx. to a Binomial Dist.
AP Statistics: Section 8.1B Normal Approx. to a Binomial Dist.

Test 10A - Princeton High School
Test 10A - Princeton High School

... population standard deviation is known to be 10 and the sample size is 50. The value of z* to be used in this calculation is (a) 1.960 (b) 1.645 (c) 1.7507 (d) 2.0537 (e) None of the above. The answer is ...
Activity 2: To choose the statistical technique for given problems
Activity 2: To choose the statistical technique for given problems

Exam Review Sheet
Exam Review Sheet

... equally between two local brands, “Secretariat Oats” and “Whirlaway Oats.” a. Define appropriate statistical variables, and use them to state the null and alternative hypotheses that would be used to decide if there was convincing evidence against the hypothesized distribution of purchases across th ...
Inference Comparing Two Means
Inference Comparing Two Means

... Under the assumptions of independence and equal population standard deviations, this statistic has a t -distribution with n1 + n2 -2 degrees of freedom. The pooled t procedures were common before statistical computer software was available because they are relatively easy to use. However, there are ...
Drug Testing of Job Applicants. In 1990, 5.8% of job applicants who
Drug Testing of Job Applicants. In 1990, 5.8% of job applicants who

Problem Set 9 - MIT OpenCourseWare
Problem Set 9 - MIT OpenCourseWare

Lesson 13 Hypothesis Testing with the t
Lesson 13 Hypothesis Testing with the t

The One Sample t - Open Online Courses
The One Sample t - Open Online Courses

Stat 100 Final Exam Fall 2002
Stat 100 Final Exam Fall 2002

... b) Find a 95% error margin. c) Determine a 95% confidence interval for the population mean. d) What sample size is needed for a 95% error margin to be 1.3? ...
Chapters 1-6: Population vs. sample → Parameter vs. statistic
Chapters 1-6: Population vs. sample → Parameter vs. statistic

Section 11.1 Part 1 – Inference for the Mean of a Population
Section 11.1 Part 1 – Inference for the Mean of a Population

Key
Key

Ch9b
Ch9b

... Press STAT and select TESTS Scroll down to 2-SampFTest press ENTER Select Input: Data or Stats. For Stats: Type in sx1: (1st sample st. deviation) n1: (1st sample size) sx2: (2nd sample st. deviation) n2: (2nd sample size) choose H1: s1 ≠s2 s2 (two tails) (left tail) (right tail) ...
Hypothesis test for the mean
Hypothesis test for the mean

t distribution with df = n – 1.
t distribution with df = n – 1.

P - Radford University
P - Radford University

Fitting a Loss Distribution:   Household Theft Sample Data
Fitting a Loss Distribution: Household Theft Sample Data

Introduction to the Summer School
Introduction to the Summer School

... – Sign test – Mann-Whitney two sample test – Kruskal-Wallis test for comparing several samples ...
Exam 2 Review Problems
Exam 2 Review Problems

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Resampling (statistics)

In statistics, resampling is any of a variety of methods for doing one of the following: Estimating the precision of sample statistics (medians, variances, percentiles) by using subsets of available data (jackknifing) or drawing randomly with replacement from a set of data points (bootstrapping) Exchanging labels on data points when performing significance tests (permutation tests, also called exact tests, randomization tests, or re-randomization tests) Validating models by using random subsets (bootstrapping, cross validation)Common resampling techniques include bootstrapping, jackknifing and permutation tests.
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