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- https://stats.libretexts.org/Courses/Fresno_City_College/Book%3A_Business_Statistics_Customized_(OpenStax)/03%3A_Probability_Topics/3.02%3A_Probability_TerminologyRemember that S has six outcomes. \(P(A|B) = \frac{\frac{(\text { the number of outcomes that are } 2 \text { or } 3 \text { and even in } S)}{6}}{\frac{(\text { the number of outcomes that are ev...Remember that S has six outcomes. P(A|B) = \frac{\frac{(\text { the number of outcomes that are } 2 \text { or } 3 \text { and even in } S)}{6}}{\frac{(\text { the number of outcomes that are even in } S)}{6}}=\frac{\frac{1}{6}}{\frac{3}{6}}=\frac{1}{3} Odds The odds of an event presents the probability as a ratio of success to failure.
- https://stats.libretexts.org/Courses/Saint_Mary's_College_Notre_Dame/BFE_1201_Statistical_Methods_for_Finance_(Kuter)/03%3A_Probability_Topics/3.02%3A_Probability_TerminologyTo calculate the probability of an event A when all outcomes in the sample space are equally likely, count the number of outcomes for event A and divide by the total number of outcomes in the sample s...To calculate the probability of an event A when all outcomes in the sample space are equally likely, count the number of outcomes for event A and divide by the total number of outcomes in the sample space. This important characteristic of probability experiments is known as the Law of Large Numbers which states that as the number of repetitions of an experiment is increased, the relative frequency obtained in the experiment tends to become closer and closer to the theoretical probability.
- https://stats.libretexts.org/Courses/Fresno_City_College/Introduction_to_Business_Statistics_-_OER_-_Spring_2023/03%3A_Probability_Topics/3.02%3A_Probability_TerminologyRemember that S has six outcomes. \(P(A|B) = \frac{\frac{(\text { the number of outcomes that are } 2 \text { or } 3 \text { and even in } S)}{6}}{\frac{(\text { the number of outcomes that are ev...Remember that S has six outcomes. P(A|B) = \frac{\frac{(\text { the number of outcomes that are } 2 \text { or } 3 \text { and even in } S)}{6}}{\frac{(\text { the number of outcomes that are even in } S)}{6}}=\frac{\frac{1}{6}}{\frac{3}{6}}=\frac{1}{3} Odds The odds of an event presents the probability as a ratio of success to failure.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/12%3A_F_Distribution_and_One-Way_ANOVA/12.03%3A__The_F_Distribution_and_the_F-RatioThis page covers the F distribution and one-way ANOVA in hypothesis testing, showing how to calculate the F ratio using variances between and within samples. It details the process of conducti...This page covers the F distribution and one-way ANOVA in hypothesis testing, showing how to calculate the F ratio using variances between and within samples. It details the process of conducting one-way ANOVA, including sums of squares calculations and provides an example involving tomato production experiments at Marist College.
- https://stats.libretexts.org/Courses/Fullerton_College/Math_100%3A_Liberal_Arts_Math_(Ikeda)/07%3A_Statistics/7.04%3A_ExperimentsSo far, we have primarily discussed observational studies – studies in which conclusions would be drawn from observations of a sample or the population. In contrast, it is common to use experiments wh...So far, we have primarily discussed observational studies – studies in which conclusions would be drawn from observations of a sample or the population. In contrast, it is common to use experiments when exploring how subjects react to an outside influence. In an experiment, some kind of treatment is applied to the subjects and the results are measured and recorded.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/03%3A_Probability_Topics/3.01%3A_Probability_TerminologyThis page explains probability, detailing the sample space of outcomes, events, and the range of probabilities (0 to 1). It highlights the Law of Large Numbers, representing outcomes through unions, i...This page explains probability, detailing the sample space of outcomes, events, and the range of probabilities (0 to 1). It highlights the Law of Large Numbers, representing outcomes through unions, intersections, and complements, and discusses conditional probabilities and odds, particularly in gambling.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/12%3A_F_Distribution_and_One-Way_ANOVA/12.09%3A_HomeworkThis page presents a variety of statistical experiments analyzing differences in means across multiple groups. Key analyses include weight gain in rats, commuting distances among social classes, and v...This page presents a variety of statistical experiments analyzing differences in means across multiple groups. Key analyses include weight gain in rats, commuting distances among social classes, and various measurements related to magazine lengths and skiing conditions. Each study employs methods like One-Way ANOVA, forming hypotheses and testing significance levels (5%-10%) to assess variances.
