• 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
multiple choice questions
multiple choice questions

Quantitative Techniques in Business
Quantitative Techniques in Business

... have many parameters but researchers are often interested in only one or two of these characteristics. For instance, in our example above, the parameter of interest is the population mean annual salary of all the income earning residents of the county. The mean annual salary is but one of many other ...
Probabilistic Analysis
Probabilistic Analysis

ATTACHMeNT 1: Instructions to assist NPPOs and RPPOs in proper
ATTACHMeNT 1: Instructions to assist NPPOs and RPPOs in proper

Package `tigerstats`
Package `tigerstats`

... barchartGC(~sex+seat,data=m111survey) #percentage barchart, two factor variables: barchartGC(~sex+seat,data=m111survey,type="percent") #From tabulated data: sexseat <- xtabs(~sex+seat,data=m111survey) barchartGC(sexseat,type="percent",main="Sex and Seating Preference") #from tabulated data: dieTosse ...
Topic 18:  The Central Limit Theorem 41
Topic 18: The Central Limit Theorem 41

... idea that sampling distributions have less variability with larger sample sizes. In practice, of course, one wishes to go in the other direction: to make inferences about a population parameter based upon the observed value of a sample statistic. Even though these two approaches seem to pull in oppo ...
Exam - HomeworkForYou
Exam - HomeworkForYou

... Find the P-value for the indicated hypothesis test. 7) A manufacturer claims that fewer than 6% of its fax machines are defective. In a random sample of 97 such fax machines, 5% are defective. Find the P-value for a test of the manufacturer's claim. A) 0.3409 B) 0.1736 C) 0.3264 D) 0.1591 Formulate ...
Part 2: Summarising Data Numerically and Graphically
Part 2: Summarising Data Numerically and Graphically

chapter - Yosemite Community College District
chapter - Yosemite Community College District

Statistics 6126 - University of Florida
Statistics 6126 - University of Florida

Chapter 7: One-Sample Inference
Chapter 7: One-Sample Inference

Chapter 2 Estimation, Inference and Hypothesis
Chapter 2 Estimation, Inference and Hypothesis

Appendix B: Concepts in Statistics
Appendix B: Concepts in Statistics

... From this list, you can see that the median income is $33,450. You can also see that $12,500 is the only income that occurs more than once. So, the mode is $12,500. In Example 1, was the analyst telling the truth about the annual incomes? Technically, the person was telling the truth because the av ...
Bayesian Statistics in Radiocarbon Calibration
Bayesian Statistics in Radiocarbon Calibration

... that the age of the item is between 5100 and 4900 years before present.1 Rather, the confidence coefficient tells us something about the method by which the estimate was generated (cf. Lindgren 1993, 282-3). That is, in a large number of repetitions, the method would very likely produce an estimate ...
The vast majority of the statistics that you`ve done so far
The vast majority of the statistics that you`ve done so far

Practice Exam Chapter 8 - CONFIDENCE INTERVAL ESTIMATION
Practice Exam Chapter 8 - CONFIDENCE INTERVAL ESTIMATION

... 1. a confidence interval for this sample would be based on the t distribution with __________ degrees of freedom. 6 ...
Graphing Y = 8.538
Graphing Y = 8.538

... The moral of this story is that there is often a problem of statistical power when we are examining interactive effects. One way to cope with this problem is to code for statistical power to be concentrated on the strongest hypotheses. Often in epidemiology the variable that may be affecting the mag ...
One-Way Multiple Comparisons Tests
One-Way Multiple Comparisons Tests

... treatment means by using linear contrasts. Suppose I have five means, which I shall label A, B, C, D, and E. I can choose contrast coefficients to compare any one mean or subset of these means with any other mean or subset of these means. The sum of the contrast coefficients must be zero. All of the ...
7.9 confidence intervals for parameters of finite populations
7.9 confidence intervals for parameters of finite populations

Chapter 03-Solutions
Chapter 03-Solutions

Introduction to Statistical Quality Control, 4th Edition
Introduction to Statistical Quality Control, 4th Edition

Introduction to Statistical Quality Control, 4th Edition
Introduction to Statistical Quality Control, 4th Edition

Critical Value
Critical Value

Chapter 03-Solutions
Chapter 03-Solutions

A Quick Guide to Statistical Capabilities of the TI-83
A Quick Guide to Statistical Capabilities of the TI-83

< 1 ... 31 32 33 34 35 36 37 38 39 ... 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