دوره GRE Test- Practice & Study Guide ، فصل 25 : GRE Quantitative Reasoning- Probability and Statistics

درباره‌ی این فصل:

Looking for practice in probability and statistics for the GRE? This chapter offers engaging and fun video lessons to help prepare you for these questions on the GRE test. Test your knowledge with lesson quizzes and a chapter exam to help gauge your understanding of probability and statistics concepts.

GRE Quantitative Reasoning: Probability and Statistics - Chapter Summary

Develop proficiency in determining probability and statistics with these GRE review tutorials. Video lectures address various statistical methods and concepts you’ll need to know when answering questions on the quantitative part of the GRE. Topics covered in the probability and statistics materials include:

Bar graphs

Pie charts

Central tendency measures

Factorials

Combination probability

Permutation probability

Frequency tables

Conditional probability

The videos in this chapter comprise instruction in a variety of methods for discerning statistics and probabilities. In addition, complementary quizzes and practice problems can help you gauge your assimilation of the lessons. Chapter information is allocated into short, on-point videos covering individual topics to support your GRE success.

GRE Quantitative Reasoning Objectives

The GRE is intended to determine how academically prepared you are to pursue a business or graduate school program. A little over one-third of the test contains questions related to quantitative reasoning, which may address areas of data analysis, geometry, arithmetic, or algebra. Our instructional probability and statistics videos help you understand quantitative concepts you’ll find on the actual GRE. Following are some of the particular objectives addressed in these lessons:

Interpreting pie charts and bar graphs

Determining mean, mode, range, and median

Understanding factorials

Establishing the probability of different kinds of events

Deducing the probability of a given permutation

Ascertaining standard deviation

Determining conditional probability

Questions on the quantitative reasoning segment of the GRE occur in a few different formats. There are multiple-choice questions with a single correct answer, multiple-choice questions with more than one right response, and multiple-choice questions that offer a pair of quantities and ask you to choose the answer that best describes the relationship between them. Lastly, there are numeric-entry questions that require the calculation and provision of an original numeric response.

این مجموعه تلوزیونی شامل 15 فصل زیر است:

In this lesson, we will examine two of the most widely used types of graphs- bar graphs and pie charts. These two graphs can provide the reader with a comparison of the different data that is displayed.

Measures of central tendency can provide valuable information about a set of data. In this lesson, explore how to calculate the mean, median, mode and range of any given data set.

Simple, compound, and complementary events are different types of probabilities. Each of these probabilities are calculated in a slightly different fashion. In this lesson, we will look at some real world examples of these different forms of probability.

To calculate the probability of a combination, you will need to consider the number of favorable outcomes over the number of total outcomes. Combinations are used to calculate events where order does not matter. In this lesson, we will explore the connection between these two essential topics.

In this lesson, you will learn how to calculate the probability of a permutation by analyzing a real-world example in which the order of the events does matter. We'll also review what a factorial is. We will then go over some examples for practice.

Sometimes probabilities need to be calculated when more than one event occurs. These types of compound events are called independent and dependent events. Through this lesson, we will look at some real-world examples of how to calculate these probabilities.

While the definition of factorial isn't complicated, it's easy to make them trickier by throwing a lot of them together and adding in some fractions. Test your skills here with some algebraic examples that make you use factorials without many numbers.

Maybe it's because I'm a math teacher, but when I watched the Olympics I found myself thinking about how many different ways the swimmers could have finished the race. In this video, you'll learn the answer to this question, why it's important and how it lead to the invention of the mathematical operation called the factorial.

Combinations are an arrangement of objects where order does not matter. In this lesson, the coach of the Wildcats basketball team uses combinations to help his team prepare for the upcoming season.

A permutation is a method used to calculate the total outcomes of a situation where order is important. In this lesson, John will use permutations to help him organize the cards in his poker hand and order a pizza.

Occasionally when calculating independent events, it is only important that the event happens once. This is referred to as the 'At Least One' Rule. To calculate this type of problem, we will use the process of complementary events to find the probability of our event occurring at least once.

Statistics is the study and interpretation of a set of data. One area of statistics is the study of probability. This lesson will describe how to determine the either/or probability of overlapping and non-overlapping events.

In this lesson, we will examine the meaning and process of calculating the standard deviation of a data set. Standard deviation can help to determine if the data set is a normal distribution.

In statistics, one way to describe and analyze data is by using frequency tables. This lesson will discuss relative and cumulative frequencies and how to calculate percent increase using these two methods.

Conditional probability, just like it sounds, is a probability that happens on the condition of a previous event occurring. To calculate conditional probabilities, we must first consider the effects of the previous event on the current event.

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