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Statistics - David Michael Burrow
Statistics - David Michael Burrow

Refresher in statistics
Refresher in statistics

Name: Date: Unit 5 (Part 1- Ch 18 and 19) Test Review Inferring
Name: Date: Unit 5 (Part 1- Ch 18 and 19) Test Review Inferring

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1 Comparison of Two Populations

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Two Sample Tests

... Since zero does no lie in the the Intervals for Week 1, Week 2 and Week 4, this means we are rejecting the null on the two sided test (at the 5% level), and the p-value is less than 2.5%. Using the information above we can 95% construct intervals for the weight of a randomly selected healthy calf. T ...
Name: Date: Period: ______ Chapter 23
Name: Date: Period: ______ Chapter 23

... 9) If we want to estimate the mean weight of plastic discarded by households in one week, how many households must we randomly select if we want to be 99% confident that the sample mean is within 0.250 lb of the true population mean? If we use that sample as a pilot study, we get a standard deviatio ...
Lecture 5
Lecture 5

... One-sided p-values are not provided by most software programs. Need to be calculated by hand based on the two-sided p-values provided by the program. When should one do a one-sided instead of a two-sided test? Depends on ...
W 10/1
W 10/1

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HMIS7

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LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034

Document
Document

PP Section 9.1
PP Section 9.1

... A department store reports that 84% of all customers who use the store’s credit plan pay their bills on time. ...
Power of a Test
Power of a Test

Solutions
Solutions

Document
Document

... you have a related-measures or matched samples design. You use a related-measures design by matching pairs of different subjects in terms of some uncontrolled variable that appears to have a considerable impact on the dependent variable. ...
Chapter Solutions
Chapter Solutions

... The null hypothesis is that accounting majors earn the same or less than general business majors. The alternate hypothesis is that accounting majors earn more. They are written as follows: H0: 1   2 H1: 1 >  2 Where: 1 refers to accounting majors (graduates). 2 refers to general business majo ...
Chapter 7.1
Chapter 7.1

Normal probability plots Graphics: Assessing departures from
Normal probability plots Graphics: Assessing departures from

11-1 Part1
11-1 Part1

... The test is based on a statistic that compares the value of the parameter as stated in H0 with an estimate of the parameter from the sample data Values of the estimate far from the parameter value in the direction specified by Ha give evidence against H0 To assess how far the estimate is from the pa ...
Unit 12-1
Unit 12-1

... Two competing headache remedies claim to give fastacting relief. An experiment was performed to compare the mean lengths of time required for bodily absorption of brand A and brand B. Assume the absorption time is normally distributed. Twelve people were randomly selected and given an oral dosage o ...
Lecture 3
Lecture 3

download
download

STA220- 5.3 Guided Notes Confidence Interval for a Population
STA220- 5.3 Guided Notes Confidence Interval for a Population

Solutions to Sample Test 2
Solutions to Sample Test 2

... its mean will be mu, the population mean and its standard error will be equal to the population standard deviation (or its estimate) divided by the square root of the sample size. This assumes we can ignore the Finite Population Correction Factor, which would be true since n = 400 and the population ...
Chap guide
Chap guide

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Student's t-test

A t-test is any statistical hypothesis test in which the test statistic follows a Student's t-distribution if the null hypothesis is supported. It can be used to determine if two sets of data are significantly different from each other, and is most commonly applied when the test statistic would follow a normal distribution if the value of a scaling term in the test statistic were known. When the scaling term is unknown and is replaced by an estimate based on the data, the test statistic (under certain conditions) follows a Student's t distribution.
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