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RESEARCH & DATA ANALYSIS
RESEARCH & DATA ANALYSIS

... If the curve were flatter and more spread out, the standard deviation would be larger in order to account for 68 % of the population. So standard deviation can tell you how spread out the examples in a set are from the mean. This is useful if you are comparing results for different things (drugs, eq ...
CHAPTER 8 Estimation from Sample Data
CHAPTER 8 Estimation from Sample Data

統計學(一) - 國立交通大學開放式課程
統計學(一) - 國立交通大學開放式課程

... Shirley Mendez is the manager of quality assurance for Green Valley Foods Inc., a packer of frozen vegetable products. Shirley wants to be sure that the variation of package weight is small so that the company does not produce a large proportion of packages that are under the stated package weight. ...
SOC 8311 Basic Social Statistics
SOC 8311 Basic Social Statistics

Midterm - Web.UVic.ca - University of Victoria
Midterm - Web.UVic.ca - University of Victoria

X - AUEB e
X - AUEB e

Power and Sample Size + Principles of Simulation
Power and Sample Size + Principles of Simulation

1 - Academic Information System (KFUPM AISYS)
1 - Academic Information System (KFUPM AISYS)

... A PC company uses two suppliers for rechargeable batteries for their notebook computers. Two factors are important quality features of the batteries: mean time of use and variation. It is desirable that the mean use time is high and the variability is low. Recently, the PC maker conducted a test on ...
Question #7 / 10 A coin is tossed three times. An outcome is
Question #7 / 10 A coin is tossed three times. An outcome is

3 HYPOTHESIS TESTING: ONE SAMPLE TESTS
3 HYPOTHESIS TESTING: ONE SAMPLE TESTS

... does not lie in the critical region. Thus there is no evidence, at the 5% level of significance, to suggest that the drug is effective. Note that rather than actually determine the critical region, it is equally valid to simply argue that since P( X ≥ 12 ) = 0.09050 > 0.05 , then H0 cannot be reject ...
Sample size vs. Error - Colby
Sample size vs. Error - Colby

Statistics Help Guide
Statistics Help Guide

... variable RACE may be originally separated into 12 different categories. These 12 might be collapsed into 2 (most likely being Caucasian=1 and Non-Caucasian=0). The important thing to remember is that collapsing categories into larger ones can hide important relationships between them. For example, t ...
Confidence Intervals
Confidence Intervals

Statistics 51-651-02
Statistics 51-651-02

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Chapter 8 Review, Part 1

Stat 475/920 Notes 3
Stat 475/920 Notes 3

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Chapter 4

... mean is 72 bpm, with a standard deviation of 8, how many subjects must be in the sample to attain a calculated z-score of 2.0? a) 4 b) 8 c) 16 d) 64 -18. The IQ (μ = 100, σ = 15) scores for an advanced class at an elementary school are as follows: 102, 104, 100, 107, 105, 111, 101, 114, 110. What is ...
Understanding Tests of Hypothesis and Confidence Intervals
Understanding Tests of Hypothesis and Confidence Intervals

stat11t_0704 - Gordon State College
stat11t_0704 - Gordon State College

Seedling Planted by Year
Seedling Planted by Year

... • State: According to the National Forest Service early stages of white pine growth is relatively slow and varies from year to year. On average the height of white pine seedlings are 54 inches at 8 years of age. That is about the growth rate of 6.75 inches per year. Based on the data, does the curre ...
Random Sample Box Plot On Base Percentage Random Sample
Random Sample Box Plot On Base Percentage Random Sample

Statistical Terms Quiz by Laura King, MA, ELS
Statistical Terms Quiz by Laura King, MA, ELS

Sample Survey
Sample Survey

Math 175 – Elementary Statistics Class Notes 4 – Central Tendency
Math 175 – Elementary Statistics Class Notes 4 – Central Tendency

Confidence Intervals
Confidence Intervals

< 1 ... 128 129 130 131 132 133 134 135 136 ... 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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