• 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
Math 212 Final Review
Math 212 Final Review

Descriptive Statistics 2
Descriptive Statistics 2

Estimating the Value of a Parameter Using Confidence Intervals
Estimating the Value of a Parameter Using Confidence Intervals

Chapter 7:  Estimates and Sample Sizes
Chapter 7: Estimates and Sample Sizes

Lecture 14: Hypothesis testing, continued
Lecture 14: Hypothesis testing, continued

Sampling, Statistics, Sample Size, Power
Sampling, Statistics, Sample Size, Power

Here
Here

Chapter_17
Chapter_17

Hypothesis Testing
Hypothesis Testing

SHF/SEF1124 CHAPTER 3: INTODUCTION TO STATISTICS The
SHF/SEF1124 CHAPTER 3: INTODUCTION TO STATISTICS The

... populations, performing hypothesis tests, detemining relationships among variables and making prediction - Inferences are made from samples to populations -Use probability, that is the chance of an event occurring. -The area of inferential statistics called hypotesis testing is a decision-making pro ...
Central Tendency Trimmed Mean
Central Tendency Trimmed Mean

Chapter 7: Hypothesis Testing with One Sample
Chapter 7: Hypothesis Testing with One Sample

Chapter 3: The Normal Distributions
Chapter 3: The Normal Distributions

Chapter 4: Evaluating Analytical Data
Chapter 4: Evaluating Analytical Data

... are positive and others are negative, and some are larger in magnitude and others are smaller. The cumulative effect of these determinate errors is a net positive or negative error in accuracy. We assign determinate errors into four categories—sampling errors, method errors, measurement errors, and ...
Solutions to Practice Problems for Part I 1. A corporation recruiting
Solutions to Practice Problems for Part I 1. A corporation recruiting

1 Basic ANOVA concepts
1 Basic ANOVA concepts

best practice guide on statistical analysis of fatigue data
best practice guide on statistical analysis of fatigue data

Chapter 19 Notes PPT
Chapter 19 Notes PPT

...  One way to make the margin of error smaller is to reduce your level of confidence. (That may not be a useful solution.)  You need to think about your margin of error when you design your study.  To get a narrower interval without giving up confidence, you need to have less variability.  You can ...
ppt - UAH - Engineering
ppt - UAH - Engineering

Ch11 - Qc.edu
Ch11 - Qc.edu

252y0761 - On-line Web Courses
252y0761 - On-line Web Courses

... 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 question, you should provide an alternative answer and explain why. You may receive credit for this even if you are wrong. 4. ...
The Process of Science
The Process of Science

1-26
1-26

... in a list are from their average The SD is often used as a “plus or minus” number, as in “adult women tend to be about 5’4, plus or minus 3 inches” Most numbers (roughly 68%) will be within 1 SD away from the average Very few entries (roughly 5%) will be more than 2 SD away from the average This rul ...
Confidence Intervals for Means 5. Cattle. Livestock are given a
Confidence Intervals for Means 5. Cattle. Livestock are given a

Document
Document

... counter-intuitive, yet they are then expected to understand and use a wide variety of the statistical ideas and methods in their lab science and other courses. ...
< 1 ... 39 40 41 42 43 44 45 46 47 ... 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