Loading [MathJax]/extensions/mml2jax.js
Skip to main content
Library homepage
 

Text Color

Text Size

 

Margin Size

 

Font Type

Enable Dyslexic Font
Statistics LibreTexts

Search

  • Filter Results
  • Location
  • Classification
    • Article type
    • Author
    • Cover Page
    • License
    • Show TOC
    • Embed Jupyter
    • Transcluded
    • OER program or Publisher
    • Autonumber Section Headings
    • License Version
  • Include attachments
Searching in
About 1539 results
  • https://stats.libretexts.org/Courses/Kansas_State_University/EDCEP_917%3A_Experimental_Design_(Yang)/00%3A_Front_Matter/04%3A_Licensing
    A detailed breakdown of this resource's licensing can be found in Back Matter/Detailed Licensing.
  • https://stats.libretexts.org/Courses/Lake_Tahoe_Community_College/Interactive_Calculus_Q1/01%3A_Functions_and_Graphs/1.06%3A_Exponential_and_Logarithmic_Functions/1.6E%3A_Exercises_for_Section_1.5
    74) [T] An investment is compounded monthly, quarterly, or yearly and is given by the function \(A=P\left(1+\frac{j}{n}\right)^{nt}\), where \(A\) is the value of the investment at time \(t\), \(P\) i...74) [T] An investment is compounded monthly, quarterly, or yearly and is given by the function \(A=P\left(1+\frac{j}{n}\right)^{nt}\), where \(A\) is the value of the investment at time \(t\), \(P\) is the initial principle that was invested, \(j\) is the annual interest rate, and \(n\) is the number of time the interest is compounded per year.
  • https://stats.libretexts.org/Under_Construction/Purgatory/Finite_Mathematics_-_Spring_2023/03%3A_Functions/3.15%3A_Quadratic_Functions/3.15.06%3A_Optimization
    Optimization can be applied to a broad family of different functions. However, in this section, we will concentrate on finding the maximums and minimums of quadratic functions. There is a large body o...Optimization can be applied to a broad family of different functions. However, in this section, we will concentrate on finding the maximums and minimums of quadratic functions. There is a large body of real-life applications that can be modeled by quadratic functions, so we will find that this is an excellent entry point into the study of optimization.
  • https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Foundations_in_Statistical_Reasoning_(Kaslik)/04%3A_Inferential_Theory/4.E%3A_Inferential_Theory_(Exercises)
    Others are opposed because of the impact to the community because of frequent long trains that will go through the towns, the pollution from the coal dust that is lost by the trains, the impact on the...Others are opposed because of the impact to the community because of frequent long trains that will go through the towns, the pollution from the coal dust that is lost by the trains, the impact on the fishing industry from water pollution and the effect coal has on the climate. If a majority of the residents in the community oppose the coal terminal (success), the mayor will also oppose it; otherwise the mayor will support it.
  • https://stats.libretexts.org/Courses/Compton_College/Pre-Statistics/07%3A_Geometry/7.04%3A_Pythagorean_Theorem
    In a right triangle, the square of the hypotenuse is equal to the sum of the squares of the legs.
  • https://stats.libretexts.org/Courses/Rio_Hondo_College/PSY_190%3A_Statistics_for_the_Behavioral_Sciences/08%3A__Introduction_to_Hypothesis_Testing/8.02%3A_The_Probability_Value
    The probability of 0.0106 is the probability of a certain outcome (13 or more out of 16) assuming a certain state of the world (James Bond was only guessing). To reiterate, the probability value is th...The probability of 0.0106 is the probability of a certain outcome (13 or more out of 16) assuming a certain state of the world (James Bond was only guessing). To reiterate, the probability value is the probability of an outcome (9/16 or better) and not the probability of a particular state of the world (the bird was only guessing).
  • https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Foundations_in_Statistical_Reasoning_(Kaslik)/04%3A_Inferential_Theory
    The objective of this chapter is to develop the theory that helps us understand why a relatively small sample size can actually lead to conclusions about a much larger population. The explanation is d...The objective of this chapter is to develop the theory that helps us understand why a relatively small sample size can actually lead to conclusions about a much larger population. The explanation is different for categorical and quantitative data. We will begin with categorical data.
  • https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Foundations_in_Statistical_Reasoning_(Kaslik)/05%3A_Testing_Hypotheses/5.E%3A_Testing_Hypotheses_(Exercises)
    Use the data in the table below to determine if the mean difference between the Tuesday price and the price the rest of the week is less than 0. The director wrote her back saying “women are not physi...Use the data in the table below to determine if the mean difference between the Tuesday price and the price the rest of the week is less than 0. The director wrote her back saying “women are not physiologically able to run marathon distances, and we wouldn't want to take the medical liability. “6 That was during a time when opportunities were limited for women because of the assumption they were physically incapable of doing many of the things that men could do.
  • https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Introductory_Statistics_(Shafer_and_Zhang)/02%3A_Descriptive_Statistics
    Statistics naturally divides into two branches, descriptive statistics and inferential statistics. Our main interest is in inferential statistics to try to infer from the data what the population migh...Statistics naturally divides into two branches, descriptive statistics and inferential statistics. Our main interest is in inferential statistics to try to infer from the data what the population might thin or to evaluate the probability that an observed difference between groups is a dependable one or one that might have happened by chance in this study. Nevertheless, the starting point for dealing with a collection of data is to organize, display, and summarize it effectively.
  • https://stats.libretexts.org/Courses/Rio_Hondo_College/PSY_190%3A_Statistics_for_the_Behavioral_Sciences/05%3A_Z-scores_and_the_Standard_Normal_Distribution
    We now understand how to describe and present our data visually and numerically. These simple tools, and the principles behind them, will help you interpret information presented to you and understand...We now understand how to describe and present our data visually and numerically. These simple tools, and the principles behind them, will help you interpret information presented to you and understand the basics of a variable. Moving forward, we now turn our attention to how scores within a distribution are related to one another, how to precisely describe a score’s location within the distribution, and how to compare scores from different distributions.
  • https://stats.libretexts.org/Courses/Rio_Hondo_College/PSY_190%3A_Statistics_for_the_Behavioral_Sciences/13%3A_Correlations/13.03%3A_Three_Characteristics
    When we talk about correlations, there are three traits that we need to know in order to truly understand the relation (or lack of relation) between X and Y : form, direction, and magnitude. We wil...When we talk about correlations, there are three traits that we need to know in order to truly understand the relation (or lack of relation) between X and Y : form, direction, and magnitude. We will discuss each of them in turn.

Support Center

How can we help?