• 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
Activity #34
Activity #34

... However, while this wording is okay for student use in the classroom, it is technically incorrect, and would not be used by actual statisticians when interpreting the meaning of a confidence interval. Because you would never describe yourself as being 75% happy or 50% in love with someone, you also ...
Sample Test Questions
Sample Test Questions

... 19. Ok, let's say you just got a job as a lab tech, and you're going to be doing different tests on possible new drugs that your company is creating. Of course, the reason you got the job is because they know you have an excellent knowledge of how statistics works, and they're sure you will do the ...
INTRODUCTION TO DATA AND DATA ANALYSIS May 2016
INTRODUCTION TO DATA AND DATA ANALYSIS May 2016

Sec. 8.3 PowerPoint
Sec. 8.3 PowerPoint

AP Statistics Exam Tips for Students
AP Statistics Exam Tips for Students

... It is not enough to memorize the terminology related to surveys, observational studies, and experiments. You must be able to apply the terminology in context. For example: Blocking refers to a deliberate grouping of subjects in an experiment based on a characteristic (such as gender, cholesterol lev ...
SAMPLE MEANS 8/4/2014
SAMPLE MEANS 8/4/2014

Bayesian Analysis on Quantitative Decision
Bayesian Analysis on Quantitative Decision

Calculators How to use yours!
Calculators How to use yours!

Solution
Solution

... σ Unknown: X̄n ± qt(1 − α/2, df = n − 1) × √ n Thus, all other things equal, we would have to quadruple the sample size to cut the width of the interval in half. (There is a slight complication that arises from the fact that the quantile of the t interval also involves n, but as discussed in class, ...
Lect.7
Lect.7

Statistical significance using Confidence Intervals
Statistical significance using Confidence Intervals

Using SAS to Analyze the Summary Data
Using SAS to Analyze the Summary Data

Chapter 3.5 The Five-Number Summary and Boxplots
Chapter 3.5 The Five-Number Summary and Boxplots

Chapter 10- Basic Statistical Concepts
Chapter 10- Basic Statistical Concepts

Exam 2 Extra Assignment
Exam 2 Extra Assignment

... * Anyone in the class can do this assignment regardless of exam 2 score. * The assignment consists of 20 even-numbered questions from the PREVIOUS edition of the text, which do not have answers provided for them. You are encouraged to use YOUR text's odd-numbered questions and their solutions in the ...
Statistics Midterm Review Name The next three questions concern
Statistics Midterm Review Name The next three questions concern

... (b) any sample that gives every individual the same chance to be selected. (c) a sample that gives every possible sample of the same size the same chance to be selected. (d) a sample that selects equal numbers of individuals from each stratum. (e) a sample that contains the same percent of each subg ...
Candidate Name
Candidate Name

Chapter 5/6 Review
Chapter 5/6 Review

... Find the 95% confidence interval for the true mean for this data. ...
MATH 160 Name: DIRECTIONS – PLEASE READ!! Probability
MATH 160 Name: DIRECTIONS – PLEASE READ!! Probability

... 9.) A biologist estimates that 76% of deer in the region carry a certain type of tick. For a sample of 300 deer selected at random, what is the chance that 246 or fewer deer have this tick? Make sure you include your work!! Population.76 Sample=300 246/300-.76squareroot300/.76*.24= 2.43 10.) The ave ...
Review: Statistics
Review: Statistics

... 2. A student scores 60 on a math test that has a mean of 54 and a standard deviation of 3, and she scores 80 on a history test with a mean of 75 and a standard deviation of 2. On which test did she do better compared to the rest of the class? 3. A manufacturer produces a large number of toasters. Fr ...
ME 120 Experimental Methods
ME 120 Experimental Methods

Consider a population with a known standard deviation of 15.4. In
Consider a population with a known standard deviation of 15.4. In

Variance and Standard Deviation
Variance and Standard Deviation

Generating Statistical Tables Meeting NDA Guidelines the Lazy Way
Generating Statistical Tables Meeting NDA Guidelines the Lazy Way

Data Analysis and Interpretation 1: Descriptive Statistics
Data Analysis and Interpretation 1: Descriptive Statistics

< 1 ... 138 139 140 141 142 143 144 145 146 ... 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