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Statistics - hrsbstaff.ednet.ns.ca
Statistics - hrsbstaff.ednet.ns.ca

View Doc
View Doc

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10-18 lecture

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Exercises for 6.6

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Stat 100 Sample Final Questions

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Research Methods lecture 6 and 7 Slides

... How likely is it that these two samples (the pink and the blue) were taken from the SAME population? [this is called the NULL HYPOTHESIS] ...
Sampling Distribution and Hypothesis Test
Sampling Distribution and Hypothesis Test

1. Which of the following questions on a job application does not
1. Which of the following questions on a job application does not

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Anx.20 G - Allied Stat for Maths - Maths CA 2008-09

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15 - Professor Mo Geraghty

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Chapter 8. Inferences about More Than Two Population Central

... We need to verify that these conditions are satisfied prior to making inferences from the analysis of variance table. – The normality condition is not as critical as the equal variance assumption when we have large sample sizes unless the populations are severely skewed or have very heavy tails. – T ...
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Statistical Inference

Populations
Populations

... Previously collected data – even on a similar but not identical variable – is useful. The “Range Rule of Thumb” can be useful in generating an educated guess for the standard deviation. To ensure the error margin, guess conservatively (too high). If you are too conservative, you will oversample (cos ...
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Types of Sampling

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Chapter 8

#29 a) skewed right means there are a few instances where groups
#29 a) skewed right means there are a few instances where groups

... e) when the p-value is less than alpha we reject the hypothesis so if alpha goes from .01 to .05 it is easier to reject Ho. So if you can reject it more often you are more likely to reject a false null hypothesis which is good so that power must increase. f) since power is a good thing and it is goo ...
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S 2

... – Two job designs are being considered for the production of a new computer desk. – Two samples are randomly and independently selected • A sample of 25 workers assembled a desk using design A. • A sample of 25 workers assembled the desk using design B. • The assembly times were recorded ...
Test 3
Test 3

< 1 ... 203 204 205 206 207 208 209 210 211 ... 280 >

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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