The document is a math jeopardy game with questions in various categories like fractions, percentages, word problems, and sports math. It contains the questions, answers, and scores from the game.
This portfolio storyboard outlines four pages for an online portfolio: a home page introducing the portfolio and linking to other pages, an artifacts page providing directions to view examples of work, a vitae page detailing employment history, and a reflections page sharing thoughts on growth in an education technology program. Each page will have a white background, black text and titles that animate, and will link the viewer to navigate between the different sections of the portfolio.
This document provides a list of online resources for students participating in the Estill Middle School Science Fair, including websites that offer science fair project ideas, guidelines for projects, and information about science fairs in general. The list includes over a dozen URLs for science fair resources from organizations like Elmer's, the Chem4kids website, and the International Science and Engineering Fair.
This document provides an overview of probability concepts including:
- Classical probability which uses equally likely outcomes and sample spaces to calculate probabilities
- Empirical probability which is based on observed frequencies
- Addition rules for calculating probabilities of independent and dependent events
- Conditional probability which considers the probability of one event given another
- Multiplication rules for independent and dependent events
- Examples of calculating probabilities for single events, combinations of events, and conditional scenarios.
This document provides an overview of probability concepts including:
- Probability is the chance of an event occurring and is calculated using the classical or empirical formulas
- Events can be simple, compound, mutually exclusive or complementary
- The addition rule states that for mutually exclusive events the probability of event A or B is P(A) + P(B), and for non-mutually exclusive events it is P(A) + P(B) - P(A and B)
- The multiplication rule states that if events are independent, the probability of both occurring is P(A) P(B)
- Conditional probability is the probability of one event occurring given that another event has occurred
- Examples are provided to
Fractions can be used to represent parts of a whole, like slices of pizza. The whole pizza is represented by the fraction 1/1. However, since one slice was eaten, the remaining pizza is now represented by the fraction 3/4, as there are now 3 slices out of the original 4.
The document provides instructions for playing the game show Jeopardy, including directions to enter answers, questions, categories and scores. It outlines the different rounds and dollar amounts for clues. Sample clues, questions and answers are provided in different categories like science, geography, history, math, arts and sports.
The document contains multiple math word problems and questions. It asks the reader to solve problems involving fractions, percentages, averages, ratios, and more. It also contains some true/false questions about math properties.
Probability is a way to express the likelihood that an event will occur based on chance. It is commonly used in mathematics. An experiment involves chance or probability that can have multiple outcomes. The chances of spinning a spinner with 4 equal sides and landing on red are 1 in 4. The chances of rolling a 6-sided die and landing on a 2 are also 1 in 6. Gambling uses probability and mathematics to determine the odds of winning various games of chance.
This document provides an introduction to basic probability concepts. It defines key terms like experiments, outcomes, sample space, and events. It explains how to calculate probabilities using fractions, decimals, or percentages. Examples are provided on determining the probability of rolling certain numbers on a die or spinning to certain areas on a spinner. The document also covers concepts like finding the probability of compound events and solving word problems involving probabilities.
The document is a Jeopardy-style board with questions in various categories including number, algebra, geometry, probability, and statistics. The final question asks to find the perimeter and area of a figure with given side lengths.
The document contains a series of math word problems organized into categories with increasing dollar values from $100 to $500. Each problem provides the relevant context and then asks the reader to determine the number of possible outcomes. The final category problem asks how many different ice cream combinations can be obtained from a shop offering various flavors, containers, toppings and sauces. The document concludes by stating the number of combinations is 36.
This document provides a 3rd grade math review with 14 questions covering topics like place value, operations, measurement, data, and word problems. The questions ask students to identify place values, perform calculations, compare numbers, order numbers, identify measurements, interpret data in graphs, and write number sentences. They require skills like decomposing numbers, rounding, estimating, and applying math operations and concepts.
This document contains a Math Jeopardy game with questions in various categories including real number systems, trigonometry, square roots, and the Pythagorean theorem. The questions range in difficulty from $10 to $50 and cover topics like classifying numbers, solving trigonometric ratios, using the Pythagorean theorem to find missing sides of right triangles, and more.
10 centuries of the history of the poker. Basic rules and mathematical expectation. What should you do to win more often.
For information on other games visit https://nz-casinos.com/.
The document discusses probability theory and concepts like sample space, outcomes, events, and the probability of events occurring. It provides examples of calculating probabilities, including rolling dice. The key points are:
- Probability theory is the study of chance using mathematics
- An experiment is a situation with possible results called outcomes
- The sample space includes all possible outcomes
- An event is a subset of outcomes of interest within the sample space
- Probability is calculated as the number of favorable outcomes divided by the total number of possible outcomes
- Examples are provided to demonstrate calculating probabilities, such as the probability of rolling a 7 when rolling two fair dice.
The document discusses how to change the world by taking an observer perspective and questioning societal norms and conventions. It begins by encouraging the reader to observe the world without filters and ask "why" things are the way they are, using the example of a child's natural curiosity declining as they are shaped by society. It then summarizes how the education system teaches children to adapt to a competitive, survival-oriented world by following rules and authority in order to succeed, rather than nurturing creativity and play. The overall message is that meaningful change requires fresh thinking by observing the world critically and questioning underlying assumptions rather than accepting "that's just the way it is."
The document defines key probability terms:
- Probability is the chance of an event occurring
- The sample space includes all possible outcomes
- Equally likely events have the same chance of occurring
- Mutually exclusive events cannot both occur simultaneously
- Non-mutually exclusive events can occur together
It also provides examples of calculating probabilities of dice rolls.
The document provides a series of math questions and answers related to ratios, proportions, rates, scale drawings, and unit conversions. It includes questions about setting up and solving proportions, finding unit rates, comparing rates, converting distances on a map based on a scale, and performing operations with fractions.
discrete random variables and continuous random variablesjayelamparo29
油
This document discusses probability and random variables. It defines a sample space as all possible outcomes of an experiment. A random variable is defined as a function that assigns a number to each outcome in the sample space. Random variables can be discrete, taking on countable values, or continuous, taking on values along a continuous scale. Examples of both discrete and continuous random variables are provided. The document also discusses probability distributions as specifying the probabilities of different values a random variable can take. It provides examples of determining if sets of values represent valid probability distributions.
Union and intersection of events (math 10)Damone Odrale
油
The document discusses probability concepts like sample space, number of outcomes of an event, and calculating probability. It provides examples like rolling a die, picking balls from an urn, and drawing cards from a deck. It also covers compound events and calculating probability for multiple outcomes. The examples are meant to illustrate key probability terms and how to set up and solve probability problems.
The document outlines the categories, questions, and point values for rounds of a Jeopardy-style game called "Shiriyah 2009" hosted by The Frisch School. It includes 6 rounds covering topics like money amounts in Jewish law, human evolution, famous fires, and animal terms. The final section shows the scores from participants after the final question about the former Prime Minister of Israel, Golda Meir.
This document contains the questions and answers from a game of Jeopardy. The questions cover various topics including capital cities, saying numbers, languages, naming things, and trivia. Correct answers are provided for questions about the capitals of Canada, India, South Africa, Australia, and Kenya. Numbers are read out correctly. Languages spoken in China, Korea, Brazil, Russia, and Norway are identified. Various things are named like vegetables, Canadian cities, articles of clothing, and US presidents. Trivia questions are answered about Shakespeare, the White House, the Mississippi River, the American Revolution year, and the assassinated US President in 1865. The final Jeopardy question is about a Tolstoy quote and the book it's
The document provides instructions for students to create an online news article summarizing facts about President Barack Obama's 2009 inauguration as well as his inaugural address. Students are asked to research Obama's biography and the inauguration events. They should select three portions of Obama's inaugural address to comment on and include one or two pictures and two to three video clips from the inauguration in their article. The article is to be written in Microsoft Word and then converted to an online blog format. Resources on the White House website are provided for research and to embed clips and transcripts from the inauguration.
This document contains examples and explanations of key concepts related to the normal distribution and probability, including:
- Calculating probabilities for various z-scores under the standard normal distribution
- Using the normal distribution to find probabilities for real-world scenarios involving cassette deck lifetimes, cornflake weights, and CEO ages
- Properties of the sampling distribution of sample means, including how it approaches normality as sample size increases based on the Central Limit Theorem
- Worked examples applying concepts like finding probabilities and cutoff scores for sample means and binomial experiments
Chapter 7 Confidence Intervals And Sample SizeRose Jenkins
油
This document discusses confidence intervals for means and proportions. It defines key terms like point estimates, interval estimates, confidence levels, and confidence intervals. It provides formulas for calculating confidence intervals for means when the population standard deviation is known or unknown, and when the sample size is greater than or less than 30. Formulas are also given for calculating confidence intervals for proportions, and for determining the minimum sample size needed for estimating means and proportions within a desired level of accuracy. Examples of applying these concepts to sample data are also included.
This document summarizes key concepts about probability distributions and random variables. It discusses discrete and continuous random variables and gives examples. It also covers discrete probability distributions and their properties like mean, variance, and expected value. It introduces the binomial distribution and provides the formula and examples.
Correlation and regression analysis are statistical methods used to determine if a relationship exists between variables and describe the nature of that relationship. A scatter plot graphs the independent and dependent variables and allows visualization of any trends in the data. The correlation coefficient measures the strength and direction of the linear relationship between variables, ranging from -1 to 1. Regression finds the linear "best fit" line that minimizes the residuals, or differences between observed and predicted dependent variable values. The coefficient of determination measures how much variation in the dependent variable is explained by the regression model.
This document provides an overview of key concepts in descriptive statistics including:
- Parameters describe populations while statistics describe samples
- Measures of central tendency include the mean, median, and mode
- Measures of variation/dispersion include range, variance, standard deviation, and coefficient of variation
- The empirical rule describes how many data points fall within a certain number of standard deviations from the mean for a normal distribution
This document provides an overview of key concepts in statistics including definitions of statistics, variables, data, descriptive vs inferential statistics, populations vs samples, types of variables and data, levels of measurement, methods of data collection including surveys, and types of statistical studies. It also discusses some common misuses of statistics.
This document discusses different types of graphs and distributions that can be used to organize and represent data. It explains frequency distributions, histograms, frequency polygons, ogives, relative frequency graphs, Pareto charts, time series graphs, pie charts, and stem-and-leaf plots. Rules for constructing frequency distributions and examples of each type of graph are provided.
This document provides an introduction to basic probability concepts. It defines key terms like experiments, outcomes, sample space, and events. It explains how to calculate probabilities using fractions, decimals, or percentages. Examples are provided on determining the probability of rolling certain numbers on a die or spinning to certain areas on a spinner. The document also covers concepts like finding the probability of compound events and solving word problems involving probabilities.
The document is a Jeopardy-style board with questions in various categories including number, algebra, geometry, probability, and statistics. The final question asks to find the perimeter and area of a figure with given side lengths.
The document contains a series of math word problems organized into categories with increasing dollar values from $100 to $500. Each problem provides the relevant context and then asks the reader to determine the number of possible outcomes. The final category problem asks how many different ice cream combinations can be obtained from a shop offering various flavors, containers, toppings and sauces. The document concludes by stating the number of combinations is 36.
This document provides a 3rd grade math review with 14 questions covering topics like place value, operations, measurement, data, and word problems. The questions ask students to identify place values, perform calculations, compare numbers, order numbers, identify measurements, interpret data in graphs, and write number sentences. They require skills like decomposing numbers, rounding, estimating, and applying math operations and concepts.
This document contains a Math Jeopardy game with questions in various categories including real number systems, trigonometry, square roots, and the Pythagorean theorem. The questions range in difficulty from $10 to $50 and cover topics like classifying numbers, solving trigonometric ratios, using the Pythagorean theorem to find missing sides of right triangles, and more.
10 centuries of the history of the poker. Basic rules and mathematical expectation. What should you do to win more often.
For information on other games visit https://nz-casinos.com/.
The document discusses probability theory and concepts like sample space, outcomes, events, and the probability of events occurring. It provides examples of calculating probabilities, including rolling dice. The key points are:
- Probability theory is the study of chance using mathematics
- An experiment is a situation with possible results called outcomes
- The sample space includes all possible outcomes
- An event is a subset of outcomes of interest within the sample space
- Probability is calculated as the number of favorable outcomes divided by the total number of possible outcomes
- Examples are provided to demonstrate calculating probabilities, such as the probability of rolling a 7 when rolling two fair dice.
The document discusses how to change the world by taking an observer perspective and questioning societal norms and conventions. It begins by encouraging the reader to observe the world without filters and ask "why" things are the way they are, using the example of a child's natural curiosity declining as they are shaped by society. It then summarizes how the education system teaches children to adapt to a competitive, survival-oriented world by following rules and authority in order to succeed, rather than nurturing creativity and play. The overall message is that meaningful change requires fresh thinking by observing the world critically and questioning underlying assumptions rather than accepting "that's just the way it is."
The document defines key probability terms:
- Probability is the chance of an event occurring
- The sample space includes all possible outcomes
- Equally likely events have the same chance of occurring
- Mutually exclusive events cannot both occur simultaneously
- Non-mutually exclusive events can occur together
It also provides examples of calculating probabilities of dice rolls.
The document provides a series of math questions and answers related to ratios, proportions, rates, scale drawings, and unit conversions. It includes questions about setting up and solving proportions, finding unit rates, comparing rates, converting distances on a map based on a scale, and performing operations with fractions.
discrete random variables and continuous random variablesjayelamparo29
油
This document discusses probability and random variables. It defines a sample space as all possible outcomes of an experiment. A random variable is defined as a function that assigns a number to each outcome in the sample space. Random variables can be discrete, taking on countable values, or continuous, taking on values along a continuous scale. Examples of both discrete and continuous random variables are provided. The document also discusses probability distributions as specifying the probabilities of different values a random variable can take. It provides examples of determining if sets of values represent valid probability distributions.
Union and intersection of events (math 10)Damone Odrale
油
The document discusses probability concepts like sample space, number of outcomes of an event, and calculating probability. It provides examples like rolling a die, picking balls from an urn, and drawing cards from a deck. It also covers compound events and calculating probability for multiple outcomes. The examples are meant to illustrate key probability terms and how to set up and solve probability problems.
The document outlines the categories, questions, and point values for rounds of a Jeopardy-style game called "Shiriyah 2009" hosted by The Frisch School. It includes 6 rounds covering topics like money amounts in Jewish law, human evolution, famous fires, and animal terms. The final section shows the scores from participants after the final question about the former Prime Minister of Israel, Golda Meir.
This document contains the questions and answers from a game of Jeopardy. The questions cover various topics including capital cities, saying numbers, languages, naming things, and trivia. Correct answers are provided for questions about the capitals of Canada, India, South Africa, Australia, and Kenya. Numbers are read out correctly. Languages spoken in China, Korea, Brazil, Russia, and Norway are identified. Various things are named like vegetables, Canadian cities, articles of clothing, and US presidents. Trivia questions are answered about Shakespeare, the White House, the Mississippi River, the American Revolution year, and the assassinated US President in 1865. The final Jeopardy question is about a Tolstoy quote and the book it's
The document provides instructions for students to create an online news article summarizing facts about President Barack Obama's 2009 inauguration as well as his inaugural address. Students are asked to research Obama's biography and the inauguration events. They should select three portions of Obama's inaugural address to comment on and include one or two pictures and two to three video clips from the inauguration in their article. The article is to be written in Microsoft Word and then converted to an online blog format. Resources on the White House website are provided for research and to embed clips and transcripts from the inauguration.
This document contains examples and explanations of key concepts related to the normal distribution and probability, including:
- Calculating probabilities for various z-scores under the standard normal distribution
- Using the normal distribution to find probabilities for real-world scenarios involving cassette deck lifetimes, cornflake weights, and CEO ages
- Properties of the sampling distribution of sample means, including how it approaches normality as sample size increases based on the Central Limit Theorem
- Worked examples applying concepts like finding probabilities and cutoff scores for sample means and binomial experiments
Chapter 7 Confidence Intervals And Sample SizeRose Jenkins
油
This document discusses confidence intervals for means and proportions. It defines key terms like point estimates, interval estimates, confidence levels, and confidence intervals. It provides formulas for calculating confidence intervals for means when the population standard deviation is known or unknown, and when the sample size is greater than or less than 30. Formulas are also given for calculating confidence intervals for proportions, and for determining the minimum sample size needed for estimating means and proportions within a desired level of accuracy. Examples of applying these concepts to sample data are also included.
This document summarizes key concepts about probability distributions and random variables. It discusses discrete and continuous random variables and gives examples. It also covers discrete probability distributions and their properties like mean, variance, and expected value. It introduces the binomial distribution and provides the formula and examples.
Correlation and regression analysis are statistical methods used to determine if a relationship exists between variables and describe the nature of that relationship. A scatter plot graphs the independent and dependent variables and allows visualization of any trends in the data. The correlation coefficient measures the strength and direction of the linear relationship between variables, ranging from -1 to 1. Regression finds the linear "best fit" line that minimizes the residuals, or differences between observed and predicted dependent variable values. The coefficient of determination measures how much variation in the dependent variable is explained by the regression model.
This document provides an overview of key concepts in descriptive statistics including:
- Parameters describe populations while statistics describe samples
- Measures of central tendency include the mean, median, and mode
- Measures of variation/dispersion include range, variance, standard deviation, and coefficient of variation
- The empirical rule describes how many data points fall within a certain number of standard deviations from the mean for a normal distribution
This document provides an overview of key concepts in statistics including definitions of statistics, variables, data, descriptive vs inferential statistics, populations vs samples, types of variables and data, levels of measurement, methods of data collection including surveys, and types of statistical studies. It also discusses some common misuses of statistics.
This document discusses different types of graphs and distributions that can be used to organize and represent data. It explains frequency distributions, histograms, frequency polygons, ogives, relative frequency graphs, Pareto charts, time series graphs, pie charts, and stem-and-leaf plots. Rules for constructing frequency distributions and examples of each type of graph are provided.
The document provides an overview of hypothesis testing, including defining the null and alternative hypotheses, types of errors, significance levels, critical values, test statistics, and conducting hypothesis tests using both the traditional and p-value methods. Examples are provided for z-tests, t-tests, and tests of proportions to demonstrate applications of hypothesis testing methodology.
The document recommends WizIQ as a powerful learning tool for elementary statistics courses. It adheres to many e-learning principles and theories like recognizing individual differences in learning strategies and presenting information in multiple modes. It facilitates learning by highlighting important information, chunking content to prevent cognitive overload, and encouraging reflection. Students can receive immediate feedback and collaborate with instructors to accomplish more than working independently. Ratings of its instructional aspects and practice questions were on average between 'somewhat applied' to 'well applied.' Student feedback was positive about interacting with instructors and using the whiteboard compared to other online tools.
This document discusses key considerations for developing a distance education program for a Bachelor's degree in Liberal Arts. It addresses identifying the target student group, how they differ from traditional students, and why they may prefer distance learning. It also examines which parts of the current curriculum could be offered online, any requirements that may not be suitable, and how departments and faculty can prepare to deliver quality distance instruction and support students technologically.
66. Carolina Panthers gave up 14 points to the Pittsburgh Steelers, 2 of which were scored from a safety. This is the maximum number of touchdowns scored.