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Power Analysis of Means
Power Analysis of Means

Math 464 - Fall 14 - Homework 5 1. Roll two six
Math 464 - Fall 14 - Homework 5 1. Roll two six

... 4. I roll a six-sided die until I get a 6. Then I roll it some more until I get an even number. Let X be the total number of rolls. So here are some possible outcomes with the resulting value of X: 24126154: X=8 364: X=3 3463112: X=7 15466: X=5 Find the mean and variance of X. Hint: write X as the ...
1.) The Target Corporation personnel director wants to estimate the
1.) The Target Corporation personnel director wants to estimate the

... 4) A manufacturer of detergent claims that the mean weight of a particular box of detergent is at least 3.25 pounds. A random sample of 81 boxes reveals a sample average of 3.18 pounds and a sample standard deviation of 0.15 pounds. Using a 0.10 level of significance, is there evidence that the ave ...
Inference for 1 Sample
Inference for 1 Sample

EXAMPLE A recent national survey found that high school students
EXAMPLE A recent national survey found that high school students

... of plumbers in the Salt Lake City area is normally distributed, with a mean of $30,000 and a standard deviation of $3,000. A recent investigative reporter for KYAK TV found, for a sample of 18 plumbers, the mean gross income was $30,500. At the .10 significance level, is it reasonable to conclude th ...
Transformations. Non-parametric tests
Transformations. Non-parametric tests

Chapter 10: Confidence Intervals
Chapter 10: Confidence Intervals

... ◦ The mean of the sampling distribution is the same as the unknown mean of the entire population. ◦ The standard deviation for a SRS of 50 freshmen is ...
statistics - summary - Michigan State University
statistics - summary - Michigan State University

Difference between two means Hypotheses Test (level 0.05)
Difference between two means Hypotheses Test (level 0.05)

Statistical hypothesis testing
Statistical hypothesis testing

(1) The mean and median are two ways to estimate the "average" of
(1) The mean and median are two ways to estimate the "average" of

One-Sample z Interval Homework
One-Sample z Interval Homework

2. A university has been tracking the percentage of alumni giving to
2. A university has been tracking the percentage of alumni giving to

... a) Continuous, because a normally distributed random variable is continuous b) Quantitative, because the output of a normally distributed random variable are real numbers 5. The mean time for a racecar driver’s crew to perform a pit stop is 13.2 seconds, with a standard deviation of 0.9 seconds. To ...
Confidence Intervals for the Mean: Known
Confidence Intervals for the Mean: Known

Variation in Sample Estimates Lecture Handout
Variation in Sample Estimates Lecture Handout

Figure 15.2
Figure 15.2

... Remember s and p: statistics come from samples, and parameters come from populations. As long as we were just doing data analysis, searching for patterns, or summarizing features of our data, the distinction between population and sample was not important. Now, as we begin to understand what our ...
Chapter 7
Chapter 7

Chapter 3 Numerically Summarizing Data
Chapter 3 Numerically Summarizing Data

Guidance on sample and sample extract stability trials
Guidance on sample and sample extract stability trials

Week 4 - gozips.uakron.edu
Week 4 - gozips.uakron.edu

Hypothesis Testing
Hypothesis Testing

Problem Set 1
Problem Set 1

Parametric Inference
Parametric Inference

σ < = 2.355 = 4.492 - Emily Miller`s ePortfolio
σ < = 2.355 = 4.492 - Emily Miller`s ePortfolio

Week9
Week9

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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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