• 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 7 Summer Packet Graphic Organizer
Math 7 Summer Packet Graphic Organizer

Chapter 9 Input Modeling
Chapter 9 Input Modeling

5: Introduction to Estimation
5: Introduction to Estimation

Confidence Interval for Estimating a Population Mean
Confidence Interval for Estimating a Population Mean

... Example 3: People have died in boat and aircraft accidents because an obsolete estimate of the mean weight of men was used. In recent decades, the mean weight of men has increased considerably, so we need to update our estimate of that mean so that boats, aircraft, elevators, and other such devices ...
Box and Whisker Plot
Box and Whisker Plot

Chapter 3 outline notes
Chapter 3 outline notes

Lindblom Mathematics and Science Academy
Lindblom Mathematics and Science Academy

The Central Limit Theorem
The Central Limit Theorem

Chapter 9: Introduction to the t statistic
Chapter 9: Introduction to the t statistic

Lecture21
Lecture21

... Quiz #2 in this section of Introductory Statistics? ...
Instructor Planning Sheet
Instructor Planning Sheet

Chapter 2
Chapter 2

Student`s t test, Inference for variances
Student`s t test, Inference for variances

Exam III Fall 2000
Exam III Fall 2000

Statistical Analysis - HIS IB Biology 2011-2013
Statistical Analysis - HIS IB Biology 2011-2013

Sample Sizing
Sample Sizing

Dep t - Practice Exercise - KEY
Dep t - Practice Exercise - KEY

HYPOTHESIS TESTING FOR DIFFERENCE OF POPULATION
HYPOTHESIS TESTING FOR DIFFERENCE OF POPULATION

Introduction to Statistics
Introduction to Statistics

Examples are
Examples are

... A measure of location, such as the mean or the median, only describes the center of the data. It is valuable from that standpoint, but it does not tell us anything about the spread of the data. For example, if your nature guide told you that the river ahead averaged 3 feet in depth, would you want t ...
Document
Document

Experimental Evaluation
Experimental Evaluation

AU -CSA-B - Ahlia University
AU -CSA-B - Ahlia University

... people scored lower, and half higher (and one exactly).  The mean is just the average. This is the most used measure of central tendency, because of its mathematical qualities. It works best if the data is normally distributed. One interesting thing about the mean is that it represents the expected ...
Independent Samples T
Independent Samples T

Chapter 9 Hypothesis Testing II
Chapter 9 Hypothesis Testing II

< 1 ... 152 153 154 155 156 157 158 159 160 ... 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