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Confidence Interval - McGraw Hill Higher Education
Confidence Interval - McGraw Hill Higher Education

Lecture 21
Lecture 21

... Analysing JMP output for M&M data • If we test H0 : µB − µY = 0 against HA : µB − µY 6= 0 at the 5% level, we see from the output that the p-value is less than 0.01%, therefore there is strong evidence to reject the null and suppose that the mean number of blue and yellow M&Ms in a bag are different ...
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Special Topic: Bayesian Finite Population Survey

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Chapter 6 The Sum of Ranks Test
Chapter 6 The Sum of Ranks Test

... The Skeptic’s Argument is exactly the same as it was earlier for the difference of means test: The treatment is irrelevant; the response to any unit would have remained the same if the other treatment had been applied. The null hypothesis is, as before, that the Skeptic is correct. In order to visua ...
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Confidence Intervals - Warren County Schools

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Chapter 9 Sampling Distributions

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Measures of Multivariate Skewness and Kurtosis

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Confidence Intervals, Part 2: The Two

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CHAPTER 3: NUMERICAL DESCRIPTIVE MEASURES

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Business Statistics, (c) 2015 Pearson Education, All Rights

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Data Analysis and Statistical Methods Statistics 651

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probability and statistics for engineers

Confidence Interval for a Population Mean
Confidence Interval for a Population Mean

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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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