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Statistics 302 Midterm 2
Statistics 302 Midterm 2

Ingredients of statistical hypothesis testing * and
Ingredients of statistical hypothesis testing * and

7. Point Estimation and Confidence Intervals for Means
7. Point Estimation and Confidence Intervals for Means

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Review for test I

... proportion of the observations will be less than 57 inch? c) If the heights have a mound shaped and symmetric histogram, what proportion of the students will be less than 60 and more than 69 inch? d) If nothing is known about the shape of the distribution, give an interval that will contain the heig ...
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The computational formula for SS

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10.3 Statistical Significance

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3. The Sample Variance

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23 October 2001

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CHAPTER 6 REVIEW QUIZ (11 POINTS) 1. A researcher is

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3.2

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final-review

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@let@token Descriptive Statistics

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Chapter 8: Introduction to Hypothesis Testing



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Power Point Slides for W&W, Chapter 6

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Statistics Lecture1

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Prob Stat Unit V - Inferential Statistics

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MEASURES OF SPREAD – VARIABILITY- DIVERSITY

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BASIC CONCEPTS OF PROBABILITY

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µ and population standard deviation A population with population mean is

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Sect. 3.3 Measures of Spread

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Section 18: Inferences about Means (σ unknown, sample “small

Toolkit 2
Toolkit 2

1 - BrainMass
1 - BrainMass

... mean yearly sugar consumption. A sample of 16 people reveals the mean yearly consumption to be 60 pounds with a standard deviation of 20 pounds. 1. What is the value of the population mean? What is the best estimate of this value? 2. Explain why we need to use the t distribution. What assumption do ...
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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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