73 results
Adult education statistics lectures
Regressionsmethoden im Aktuariat (Präsentationsfolien)
Lernziel: Überblick über verschiedene Regressionsmethoden, Machine Learning Ansätze und künstliche neuronale Netze sowie Transfer der Theorie auf eine praktische Anwendung im Risikomanagement von VersicherungsunternehmenIn diesen Präsentationsfolien werden diverse adaptive Machine Learning Ansätze ausgehend von der Methode der kleinsten Quadrate und Modellwahlkriterien zur Herleitung der Verlustfunktion (sog. "Proxyfunktion") eines Lebensversicherers in Abhängigkeit seiner Risikofaktoren (z.B.
Subjects:
Grades:
11th - 12th, Higher Education, Adult Education
Statistics Module Bundle
Dear Customers!This Statistics Module Bundle file contains 18 lectures which are covered during Statistics Module.Each lecture containing:- Lecture PPT- Test Bank with answers for each lecture - Exercises for seminars/lectures with answers
Subjects:
Grades:
6th - 12th, Higher Education, Adult Education, Staff
AP Statistics Bundle: Lecture/Worksheets - Hypothesis Testing, Confidence & More
This bundle includes the following presentation/lectures:- 22-slide presentation on Independence and Conditional Probability- 41-slide presentation on the Normal Distribution & Z-Scores- 55-slide presentation on the Student's T-Distribution- 96-slide presentation on Confidence Intervals & Hypothesis Testing- 49-slide presentation on Chi-Square Goodness of Fit TestingA Cumulative Final Exam with 36 questionsWorksheets on probability, sampling and box & whisker charts, measures of cent
Subjects:
Grades:
10th - 12th, Higher Education, Adult Education
Analysis of Variance (ANOVA) (Statistics)
Analysis of Variance (ANOVA) is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students.Analysis of variance, known by the acronym ANOVA, allows statistical comparison among samples taken from many populations. While ANOVA literally does analyze variation, the purpose of ANOVA is to reach conclusions about possible differences among the means of each group, analogous to the hypothesis tests of the previous chapter. Every ANOVA design
Subjects:
Grades:
5th - 12th, Higher Education, Adult Education, Staff
Types:
Also included in: Statistics Module Bundle
A Roadmap for Analyzing Data (Statistics)
A Roadmap for Analyzing Data is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. Choosing appropriate statistical methods for your data is the single most important task you face and is at the heart of “doing statistics.” But this selection process is also the single most difficult thing you do when applying statistics! How, then, can you ensure that you have made an appropriate choice? By asking a series of questions, you can
Subjects:
Grades:
5th - 12th, Higher Education, Adult Education, Staff
Also included in: Statistics Module Bundle
Statistics in Research found in Social Science
This google slide presentation teaches the understanding of statistics found in Social Science research. In this 19 slide presentation the following topics are covered…-Qualitative vs Quantitative Research-Mean, Median, Mode, Midrange, and Range-Curves and Distributions-Correlation-Control group, causatition, blind experiment, confederate etc…There are images and a few videos to highlight the talking points found in this presentation.This lesson is intended for Grade 11 and 12 students (cours
Subjects:
Grades:
9th - 12th, Higher Education, Adult Education
Intro to Statistics
This presentation covers applications of statistics, measures of central tendency (mean, median mode), quartiles, measures of dispersion (range, standard deviation), outliers, percentiles, intro the to Central Limit Theorem, the normal distribution, (bell-shaped curves), sample vs. population.Slides are animated and will walk through solving problems.Best taught over 2-3 lessons.
Subjects:
Grades:
7th - 12th, Higher Education, Adult Education
Fundamentals of Hypothesis Testing: One-Sample Tests
Fundamentals of Hypothesis Testing: One-Sample Tests is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. In this lecture, you will learn several applications of hypothesis testing. You will learn how to make inferences about a population parameter by analyzing differences between the results observed, the sample statistic, and many more. Learning objectives: The basic principles of hypothesis testingHow to use hypothesis testi
Subjects:
Grades:
5th - 12th, Higher Education, Adult Education, Staff
Types:
Also included in: Statistics Module Bundle
Introduction to Multiple Regression (Statistics)
Introduction to Multiple Regression is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students.This lecture will introduce you to multiple regression models that use two or more independent variables to predict the value of a dependent variable. Learning objectives: · How to develop a multiple regression model· How to interpret the regression coefficients· How to determine which independent variables to include in the regression mode
Subjects:
Grades:
5th - 12th, Higher Education, Adult Education, Staff
Types:
Also included in: Statistics Module Bundle
Geometry & Measurement/ Probability & Statistics, Data Analysis Lessons (HiSet)
•Arithmetico Parts of Fractionso Types of Fractionso Greatest Common Factor (GCF)o Reducing Fractiono Simplifying Improper Fractionso Convert Mixed to Improper o Multiplying & Dividing Fractionso Multiplying & Dividing Mixed Fractionso Addition & Subtraction Fractionso Addition & Subtraction Mixed Fractionso Ratios & Proportionso Comparing Fractionso Convert Fractions – Decimals – Percent•Prob. Stats / Data Analysiso Solving Percent Problemso Probability vs. Chanceo Types of
Subjects:
Grades:
9th - 12th, Higher Education, Adult Education, Staff
e-Learning AnEconomist Online Course Coupen
Please email this Coupen: TEACHPAYCOUP when you register for the courses in Econometrics, Stata, Matlab, SPSS, Eviews and R. You get 100GBP off the portal fee. Register on http://elearning.aneconomist.com and email on moodle@aneconomist.com ask for discounted invoice for your course. All courses are offered Online, Live and Personalized. Each lecture is recorded and recordings DVD will be provided after the course is completed.
Grades:
11th - 12th, Higher Education, Adult Education, Staff
Basic Probability (Statistics)
Basic Probability is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students.The principles of probability help bridge the worlds of descriptive statistics and inferentialstatistics. Probability principles are the foundation for the probability distribution, the concept of mathematical expectation, and the binomial, Poisson, and hypergeometric distributions, topics. In this lecture you learn to: Basic probability conceptsAbout conditi
Subjects:
Grades:
5th - 12th, Higher Education, Adult Education, Staff
Types:
Also included in: Statistics Module Bundle
Probability & Statistics, Data Analysis Lessons (HiSet)
This file has lessons on probability, statistics, data analysis, fractions, decimals and percents. Below is a detailed list of lessons and examples.•Arithmetico Parts of Fractionso Types of Fractionso Greatest Common Factor (GCF)o Reducing Fractiono Simplifying Improper Fractionso Convert Mixed to Improper o Multiplying & Dividing Fractionso Multiplying & Dividing Mixed Fractionso Addition & Subtraction Fractionso Addition & Subtraction Mixed Fractionso Ratios & Proportionso
Subjects:
Grades:
9th - 12th, Higher Education, Adult Education, Staff
Statistics Topic Six - Normal Distribution and Central Limit Theorem
Here's the Sixth Topic in Statistics Powerpoint LectureStatistics Lecture SixIn this Powerpoint topics are Normal Distribution and Central Limit Theorem. It gives a nourishing lecture about Normal distribution, how to convert values to z-score, how to find area and probability under the normal curve when to use Central Limit theorem and the theorem behind it.Each topic is summarized and easy to understand, rather letting your students read the statistics book. This powerpoint is not wordy it giv
Subjects:
Grades:
8th - 12th, Higher Education, Adult Education
Time-Series Forecasting (Statistics)
Time-Series Forecasting is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. A time series is a set of numerical data collected over time. Due to differences in the features of data for various investments described in the Using Statistics scenario, you need to consider several different approaches for forecasting time-series data. This lecture begins with an introduction to the importance of business forecasting and a descript
Subjects:
Grades:
5th - 12th, Higher Education, Adult Education, Staff
Also included in: Statistics Module Bundle
Numerical Descriptive Measures (Statistics)
Numerical Descriptive Measures is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. Central tendency is the extent to which the values of a numerical variable group around a typical, or central, value. Variation measures the amount of dispersion, or scattering, away from a central value that the values of a numerical variable show. The shape of a variable is the pattern of the distribution of values from the lowest value to the
Subjects:
Grades:
5th - 12th, Higher Education, Adult Education, Staff
Types:
Also included in: Statistics Module Bundle
Defining and Collecting Data (Business Statistics)
Defining and Collecting Data is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students.Nowadays, Data playing an important role in the success of the company. Without reliable and proper data most probably company will fail, while by possessing good data company may get a competitive advantage over main competitors in the market. It is extremely important for future managers to understand how to collect as well as to analyze data, as
Subjects:
Grades:
5th - 12th, Higher Education, Adult Education, Staff
Types:
Also included in: Statistics Module Bundle
Easy Analytics: Beginning and Intermediate Bundle
This bundle contains all of the printed and video material on forecasting from beginning to intermediate level. In and of itself, these could be a small course in an introduction to analytics. Forecasting has become an essential function in today's world and those who can forecast can not only plan for the future but will have a leg up on the employment competition.
Subjects:
Grades:
9th - 12th, Higher Education, Adult Education
Types:
Sampling Distributions (Statistics)
Sampling Distributions is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students.In many applications, you want to make inferences that are based on statistics calculated from samples to estimate the values of population parameters. In this lecture, you will learn about how the sample mean (a statistic) is used to estimate the population mean (a parameter) and how the sample proportion (a statistic) is used to estimate the population
Subjects:
Grades:
5th - 12th, Higher Education, Adult Education, Staff
Also included in: Statistics Module Bundle
Statistics: Basic Concepts Review PPT Lecture and Resource Bundle
Fully editable PowerPoint Lecture (pptx) reviewing basic concepts. Appropriate for any level of statistics, including introductory. Fully fleshed-out notes, slide transition timing and "animation" when appropriate.Includes student handouts (pdf), printable lecture notes (pdf), learning objectives (pdf), and exam/quiz questions (pdf; 18 essay/short answer, 12 multiple choice, 12 which can be framed as either). Includes fun ESP "experiment". Topics covered: Variables: Independent and DependentRand
Subjects:
Grades:
9th - 12th, Higher Education, Adult Education, Staff
Do You Have ESP? "Experiment" for critical thinking or statistics
Fun demonstration/experiment to demonstrate probability and inject some critical thinking about paranormal phenomena into any classroom. Includes instructor notes in the notes section. This experiment involves predicting which of five "cards" will appear 25 times. The cards are fixed rather than random due to technical limitations, but the experiment repeats twice with different cards so that you may repeat it in the same classroom. The first run of this experiment is included in my lecture "Sta
Subjects:
Grades:
4th - 12th, Higher Education, Adult Education, Staff
Types:
Estimating Parameters and Determining Sample Sizes Lecture ( Statistic Module)
Estimating Parameters and Determining Sample Sizes Lecture (Elementary Statistics Module)In this lecture we begin the study of methods of inferential statistics. The following are the major activities of inferential statistics, and this lecture introduces methods for the first activity of using sample data to estimate population parameters.Major Activities of Inferential Statistics1. Use sample data to estimate values of population parameters (such as a population proportion or population mean).
Subjects:
Grades:
8th - 12th, Higher Education, Adult Education, Staff
Hypothesis Testing Lecture (Elementary Statistics Module)
Hypothesis Testing Lecture (Elementary Statistics Module)In this Hypothesis Testing lecture we begin the study how to do different hypothesis testing in statistics. More details of this lecture objectives you may find bellow:Here are the lecture objectives:1. Basics of Hypothesis TestingDevelop the ability to identify the null and alternative hypotheses when given some claim about a population parameter (such as a proportion, mean, standard deviation, or variance)Develop the ability to calculate
Subjects:
Grades:
8th - 12th, Higher Education, Adult Education, Staff
Probability & Statistics: Independence and Conditional Probability
Covers probability including:- Mutually exclusive events- Independent and dependent events ("A given B")- Unions- Intersections- Sampling with and without replacement- Addition Rule- Multiplication RuleExamples with die, cards, lottery and many others. Slides are animated, showing step-by-step how to perform calculations. I used these slides for my high school statistics class (10th-12th grade).
Subjects:
Grades:
10th - 12th, Higher Education, Adult Education
CCSS:
Showing 1-24 of 73 results
TPT is the largest marketplace for PreK-12 resources, powered by a community of educators.
IXL family of brands