• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
binomial random variable.
binomial random variable.

P - Images
P - Images

... a patient. The article “Lack of Awareness Results in Poor Autologous Blood Transfusions” (Health Care Management, May 15, 2003) reported that hepatitis occurs in 7% of patients who receive blood transfusions during heart surgery. We will simulate sampling from a population of blood recipients. We wi ...
sample
sample

... Systematic Sampling Convenience Sampling Judgment Sampling ...
Lab 13 Constructing Confidence Intervals
Lab 13 Constructing Confidence Intervals

Target parameters - NOTATION: μ - population mean
Target parameters - NOTATION: μ - population mean

4/14/98 252x9931 - On
4/14/98 252x9931 - On

... 1. This test is normed on 50 points, but there are more points possible including the take-home. You are unlikely to finish the exam and might want to skip some questions. 2. A table identifying methods for comparing 2 samples is at the end of the exam. 3. If you answer ‘None of the above’ in any qu ...
§8.2--Confidence Intervals for One Population Mean When is Known
§8.2--Confidence Intervals for One Population Mean When is Known

Statistics for Marketing and Consumer Research
Statistics for Marketing and Consumer Research

Business Matheamatics and Statistics
Business Matheamatics and Statistics

... beyond his present on existing production capacity. In order to decide hether to increase the production capacity, he would need a reliable information about increase in demand of the product, based on which only, he can commit his resources. He has two choices open to him, firstly, the expansion of ...
Statistical reasoning with the sampling distribution
Statistical reasoning with the sampling distribution

Chapter 9: Two-Sample Inference
Chapter 9: Two-Sample Inference

CONFIDENCE INTERVALS I ESTIMATION: the sample mean Gx is
CONFIDENCE INTERVALS I ESTIMATION: the sample mean Gx is

SAMPLE PROBLEMS FROM PREVIOUS FINALS FOR B01.1305 ◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊
SAMPLE PROBLEMS FROM PREVIOUS FINALS FOR B01.1305 ◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊◊

CHAPTER 11 Analysis of Variance Tests
CHAPTER 11 Analysis of Variance Tests

... IV. Conclusion: Since the test statistic of F = 3.38 falls below the critical value of F = 5.87, we do not reject H0 with at most 2.5% error. V. Implications: There is not enough evidence to conclude that the speed at which a vehicle is driven changes depending on whether the driver is alone or has ...
X-Y Scatterplot
X-Y Scatterplot

... between consecutive observations can lead to a badly underestimated process sigma and thus to an overly optimistic estimate of the process capability. With today’s automated data measurement systems, the short time intervals between samples makes this a real concern. The best way to look for correla ...
Minitab Orientation - Austin Community College
Minitab Orientation - Austin Community College

... It is sometimes a bit tricky to figure out which direction to use when doing a onesided hypothesis test here. You may not be able to clearly and correctly identify which direction it should go except by trying one and looking at the result. Try one direction and see if the result makes sense. If the ...
spatial ordering in social area typology
spatial ordering in social area typology

Confidence intervals, missing data and imputation: a salutary
Confidence intervals, missing data and imputation: a salutary

Guide to Using Excel For Basic Statistical Applications
Guide to Using Excel For Basic Statistical Applications

... Goodness of Fit Woodtrim Products Issue: The company has recently become concerned that the ripsaw may not be cutting to the manufacture’s specifications Objective: Use Excel to determine whether the data set’s mean and standard deviation meet the manufacturer’s specifications. Data file is Woodtri ...
H 0
H 0

chapter 11 review
chapter 11 review

chapter 11 review
chapter 11 review

... This is a matched pairs t test. That is, it is a one-sample t test for a population mean. n  10, x  1.4, s  1.90, df  10  1  9 ...
practical manual on statistics - College of Agriculture, OUAT
practical manual on statistics - College of Agriculture, OUAT

... Department of Agricultural Statistics College of Agriculture (OUAT), Bhubaneswar-3 ...
Section 6 - Confidence Intervals
Section 6 - Confidence Intervals

doc - OAME
doc - OAME

< 1 ... 46 47 48 49 50 51 52 53 54 ... 285 >

Misuse of statistics

Statistics are supposed to make something easier to understand but when used in a misleading fashion can trick the casual observer into believing something other than what the data shows. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator. When the statistical reason involved is false or misapplied, this constitutes a statistical fallacy.The false statistics trap can be quite damaging to the quest for knowledge. For example, in medical science, correcting a falsehood may take decades and cost lives.Misuses can be easy to fall into. Professional scientists, even mathematicians and professional statisticians, can be fooled by even some simple methods, even if they are careful to check everything. Scientists have been known to fool themselves with statistics due to lack of knowledge of probability theory and lack of standardization of their tests.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report