### Unit 9 test study guide probability and statistics

If you're seeing this message, it means we're having trouble loading external resources on our website. To log in and use all the features of Khan Academy, please enable JavaScript in your browser. Donate Login Sign up Search for courses, skills, and videos. Course summary. Analyzing categorical data. Analyzing one categorical variable : Analyzing categorical data Two-way tables : Analyzing categorical data Distributions in two-way tables : Analyzing categorical data.

Displaying and comparing quantitative data. Displaying quantitative data with graphs : Displaying and comparing quantitative data Describing and comparing distributions : Displaying and comparing quantitative data More on data displays : Displaying and comparing quantitative data. Summarizing quantitative data. Measuring center in quantitative data : Summarizing quantitative data More on mean and median : Summarizing quantitative data Interquartile range IQR : Summarizing quantitative data Variance and standard deviation of a population : Summarizing quantitative data.

Variance and standard deviation of a sample : Summarizing quantitative data More on standard deviation : Summarizing quantitative data Box and whisker plots : Summarizing quantitative data Other measures of spread : Summarizing quantitative data. Modeling data distributions. Percentiles : Modeling data distributions Z-scores : Modeling data distributions Effects of linear transformations : Modeling data distributions.

Density curves : Modeling data distributions Normal distributions and the empirical rule : Modeling data distributions Normal distribution calculations : Modeling data distributions More on normal distributions : Modeling data distributions.

Exploring bivariate numerical data. Introduction to scatterplots : Exploring bivariate numerical data Correlation coefficients : Exploring bivariate numerical data Introduction to trend lines : Exploring bivariate numerical data.

Least-squares regression equations : Exploring bivariate numerical data Assessing the fit in least-squares regression : Exploring bivariate numerical data More on regression : Exploring bivariate numerical data. Study design. Statistical questions : Study design Sampling and observational studies : Study design Sampling methods : Study design.

Types of studies experimental vs. Basic theoretical probability : Probability Probability using sample spaces : Probability Basic set operations : Probability Experimental probability : Probability. Randomness, probability, and simulation : Probability Addition rule : Probability Multiplication rule for independent events : Probability Multiplication rule for dependent events : Probability Conditional probability and independence : Probability.

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Counting, permutations, and combinations.Time: 93 hours College Credit Recommended Free Certificate If you invest in financial markets, you may want to predict the price of a stock in six months from now on the basis of company performance measures and other economic factors. As a college student, you may be interested in knowing the dependence of the mean starting salary of a college graduate, based on your GPA. These are just some examples that highlight how statistics are used in our modern society.

To figure out the desired information for each example, you need data to analyze. The purpose of this course is to introduce you to the subject of statistics as a science of data. There is data abound in this information age; how to extract useful knowledge and gain a sound understanding in complex data sets has been more of a challenge.

In this course, we will focus on the fundamentals of statistics, which may be broadly described as the techniques to collect, clarify, summarize, organize, analyze, and interpret numerical information. This course will begin with a brief overview of the discipline of statistics and will then quickly focus on descriptive statistics, introducing graphical methods of describing data.

You will learn about combinatorial probability and random distributions, the latter of which serves as the foundation for statistical inference.

On the side of inference, we will focus on both estimation and hypothesis testing issues. We will also examine the techniques to study the relationship between two or more variables; this is known as regression. By the end of this course, you should gain a sound understanding about what statistics represent, how to use statistics to organize and display data, and how to draw valid inferences based on data by using appropriate statistical tools.

Unit 9 - Probability - Day 7 –Practice Test

First, read the course syllabus. Then, enroll in the course by clicking "Enroll me in this course". Click Unit 1 to read its introduction and learning outcomes. You will then see the learning materials and instructions on how to use them. In today's technologically advanced world, we have access to large volumes of data. The first step of data analysis is to accurately summarize all of this data, both graphically and numerically, so that we can understand what the data reveals.

To be able to use and interpret the data correctly is essential to making informed decisions. For instance, when you see a survey of opinion about a certain TV program, you may be interested in the proportion of those people who indeed like the program. In this unit, you will learn about descriptive statistics, which are used to summarize and display data. After completing this unit, you will know how to present your findings once you have collected data.

For example, suppose you want to buy a new mobile phone with a particular type of a camera. Suppose you are not sure about the prices of any of the phones with this feature, so you access a website that provides you with a sample data set of prices, given your desired features.

Looking at all of the prices in a sample can sometimes be confusing. A better way to compare this data might be to look at the median price and the variation of prices. The median and variation are two ways out of several ways that you can describe data. You can also graph the data so that it is easier to see what the price distribution looks like.

In this unit, you will study precisely this; namely, you will learn both numerical and graphical ways to describe and display your data. You will understand the essentials of calculating common descriptive statistics for measuring center, variability, and skewness in data. You will learn to calculate and interpret these measurements and graphs. Descriptive statistics are, as their name suggests, descriptive. They do not generalize beyond the data considered.

Descriptive statistics illustrate what the data shows. Numerical descriptive measures computed from data are called statistics. Numerical descriptive measures of the population are called parameters. Inferential statistics can be used to generalize the findings from sample data to a broader population.

Probabilities affect our everyday lives. In this unit, you will learn about probability and its properties, how probability behaves, and how to calculate and use it.Teachers Pay Teachers is an online marketplace where teachers buy and sell original educational materials. Are you getting the free resources, updates, and special offers we send out every week in our teacher newsletter? All Categories. Grade Level. Resource Type.

Log In Join Us. View Wish List View Cart. Results for probability and statistics review for algebra 2 Sort by: Relevance. You Selected: Keyword probability and statistics review for algebra 2. Grades PreK. Other Not Grade Specific.

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Higher Education. Adult Education. Digital All Digital Resources. Made for Google Apps. Other Digital Resources. English Language Arts. Foreign Language.

Social Studies - History. History World History. For All Subject Areas. See All Resource Types. The unit includes 5 lessons which are presented to students using two different note-taking tech. MathematicsStatisticsAlgebra 2. Lesson Plans BundledActivitiesAssessment. Show 7 included products.

## Probability and Statistics (Pre-Algebra Curriculum - Unit 9) DISTANCE LEARNING

Add to cart. Wish List. It includes questions about probability distributions, conditional probability, standard deviation, binomial distributions and normal distributions.

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The review is similar to "The Millionaire" forma. Other MathStatistics. The unit includes 5 lessons which are presented to students using two different note-taking techn. PreCalculusStatisticsAlgebra 2. AssessmentHomeworkScaffolded Notes. Show 6 included products. This works well with and supplements almost every Algebra 2 Curriculum and is perfect for Distance Learning as well as in the tradition.

AlgebraPreCalculusAlgebra 2.Teachers Pay Teachers is an online marketplace where teachers buy and sell original educational materials. Are you getting the free resources, updates, and special offers we send out every week in our teacher newsletter? All Categories. Grade Level. Resource Type. Log In Join Us. View Wish List View Cart.

Results for statistics and probability unit Sort by: Relevance. You Selected: Keyword statistics and probability unit. Grades PreK. Other Not Grade Specific.

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Higher Education. Adult Education. Digital All Digital Resources. Made for Google Apps. Other Digital Resources. English Language Arts. Foreign Language. Social Studies - History. History World History. For All Subject Areas. See All Resource Types. This unit includes activities, lessons, and worksheets I have created for teaching the statistics and probability unit from the new common core standards for 6th grade. MathGraphing. WorksheetsLesson Plans BundledActivities. Add to cart. Wish List. Provide your class with anchor charts, standards posters and task cards for every 7th Grade Statistics and Probability standard. The task card activities are great for individual, small group, or whole group instruction and review.

Questions about drawing inferences from random samples, measures of. Math CentersTask Cards. Show 5 included products. The Statistics and Probability unit is covered over 4 days.English Language Arts.

Students have their first encounter with probability, as they develop their understanding of probability through calculating theoretical probabilities and designing and running their own simulations. In Unit 8, seventh-grade students finish the year with their first encounter with probability. They develop their understanding of probability through analyzing experiments, calculating theoretical probabilities, and designing and running their own simulations to model real-world situations MP.

Students encounter and use a variety of tools including spinners, dice, cards, coins, etc. Students draw on and re-engage with concepts from ratios and proportions in order to fully understand probability as a ratio of desired outcomes to total outcomes.

They also use proportional relationships to estimate long-run frequencies based on probabilities of experiments. In high school, students will further explore probability, distinguishing between independent events and conditional events and developing rules to calculate probabilities of these compound events. For guidance on adjusting the pacing for the school year due to school closures, see our 7th Grade Scope and Sequence Recommended Adjustments.

This assessment accompanies Unit 8 and should be given on the suggested assessment day or after completing the unit. Additional assessment tools to help you monitor student learning and identify any skill or knowledge gaps. Learn how to use these tools with our Guide to Assessments. Example: The sample space for a spinner with 4 equal sections labeled yellow, blue, green, and red, and a fair coin with sides heads and tails. Understand the probability of an event happening is a number between 0 and 1, ranging from impossible to certain.

Larger numbers indicate greater likelihood. Statistics and Probability 7. For example, when rolling a number cube times, predict that a 3 or 6 would be rolled roughly times, but probably not exactly times.

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Compare probabilities from a model to observed frequencies; if the agreement is not good, explain possible sources of the discrepancy. A — Develop a uniform probability model by assigning equal probability to all outcomes, and use the model to determine probabilities of events.

For example, if a student is selected at random from a class, find the probability that Jane will be selected and the probability that a girl will be selected. B — Develop a probability model which may not be uniform by observing frequencies in data generated from a chance process. For example, find the approximate probability that a spinning penny will land heads up or that a tossed paper cup will land open-end down.

Do the outcomes for the spinning penny appear to be equally likely based on the observed frequencies? A — Understand that, just as with simple events, the probability of a compound event is the fraction of outcomes in the sample space for which the compound event occurs.

B — Represent sample spaces for compound events using methods such as organized lists, tables and tree diagrams. For an event described in everyday language e. C — Design and use a simulation to generate frequencies for compound events. Use benchmark fractions and number sense of fractions to estimate mentally and assess the reasonableness of answers. Examples: simple interest, tax, markups and markdowns, gratuities and commissions, fees, percent increase and decrease, percent error. Understand that random sampling tends to produce representative samples and support valid inferences.

Use the two-way table as a sample space to decide if events are independent and to approximate conditional probabilities.If you're seeing this message, it means we're having trouble loading external resources on our website. To log in and use all the features of Khan Academy, please enable JavaScript in your browser. Donate Login Sign up Search for courses, skills, and videos.

Skill Summary Legend Opens a modal. Lesson 2: Chance experiments. Intuitive sense of probabilities Opens a modal.

## MA121: Introduction to Statistics

Comparing probabilities Get 5 of 7 questions to level up! Lesson 3: What are probabilities? Intro to theoretical probability Opens a modal. Simple probability Get 5 of 7 questions to level up!

Lesson 4: Estimating probabilities through repeated experiments. Experimental probability Opens a modal. Theoretical and experimental probabilities Opens a modal. Making predictions with probability Opens a modal. Probability models example: frozen yogurt Opens a modal.

Experimental probability Get 5 of 7 questions to level up! Making predictions with probability Get 5 of 7 questions to level up! Probability models Get 5 of 7 questions to level up! Lesson 5: More estimating probabilities. Simple probability: yellow marble Opens a modal. Simple probability: non-blue marble Opens a modal. Quiz 1. Lesson 8: Keeping track of all possible outcomes. Sample spaces for compound events Opens a modal. Counting outcomes: flower pots Opens a modal. Sample spaces for compound events Get 3 of 4 questions to level up!

Lesson 9: Multi-step experiments. Die rolling probability Opens a modal. Probability of a compound event Opens a modal.Teachers Pay Teachers is an online marketplace where teachers buy and sell original educational materials. Are you getting the free resources, updates, and special offers we send out every week in our teacher newsletter? All Categories. Grade Level. Resource Type. Log In Join Us.

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### Probability

Results for unit 9 probablity and statistics Sort by: Relevance. You Selected: Keyword unit 9 probablity and statistics. Digital All Digital Resources. Made for Google Apps. Other Digital Resources. Grades PreK. Other Not Grade Specific. Higher Education. Adult Education. English Language Arts. Foreign Language. Social Studies - History. History World History. For All Subject Areas. See All Resource Types.