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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 uses samples that represent each group and subdivides the total variation observed across all samples (all groups) toward the goal of analyzing possible differences among the means of each group. How this subdivision, called partitioning, works is a function of the design being used, but total variation, represented by the quantity sum of squares total (SST), will always be the starting point. As with other statistical methods, ANOVA requires making assumptions about the populations that the groups represent. Learning objectives: The basic concepts of experimental design How to use one-way analysis of variance to test for differences among the means of several groups When and how to use a randomized block design How to use two-way analysis of variance and interpret the interaction effect How to perform multiple comparisons in a one-way analysis of variance, a randomized block design, and a two-way analysis of variance In this File you will find: Analysis of Variance Lecture Power Point Presentation Test Bank for Analysis of Variance with 213 Questions with all answers to them 61 Exercises for Analysis of Variance lecture / seminar Plus reading resource on Analysis of Variance in order to enhance you overall knowledge about the topic. Once you will purchase this resource please leave a comment! All resources are compressed in zip file.

Derivative of Univariable Functions is one of the topic which is covered during Mathematics lectures and seminars in order to enhance students knowledge. During this Lecture and Seminar we are covering following subtopics (Agenda): - Meaning of derivatives - Differentiation rules of univariate functions - Applications of derivatives In this File you will find: - 1 Derivative of Univariable Functions Lecture Power Point Presentation 28 Slides - 1 Seminar Plan - 19 Seminar Activities with full answer list for students All covered materials are taught for bachelor level students Level 3. Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.

Multivariable Functions is one of the topic which is covered during Mathematics lectures and seminars in order to enhance students knowledge. During this Lecture and Seminar we are covering following subtopics (Agenda): - Space Rn - Multivariable functions and their properties - Applications of multivariable functions In this File you will find: - 1 Multivariable Functions Lecture Power Point Presentation - 1 Seminar Plan - 21 Seminar Activities with full answer list for students All covered materials are taught for bachelor level students Level 3. Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.

Derivative of Multivariable Functions is one of the topic which is covered during Mathematics lectures and seminars in order to enhance students knowledge. During this Lecture and Seminar we are covering following subtopics (Agenda): •Partial derivatives of multivariable functions •Rules of partial differentiation •Applications of partial derivatives In this File you will find: - 1 Derivative of Multivariable Functions Lecture Power Point Presentation 28 Slides - 1 Seminar Plan - 14 Seminar Activities with full answer list for students All covered materials are taught for bachelor level students Level 3. Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.

Unconstrained Optimization is one of the topic which is covered during Mathematics lectures and seminars in order to enhance students knowledge. During this Lecture and Seminar we are covering following subtopics (Agenda): •Intervals of increase and decrease •Concavity and convexity •Critical and stationary points •Optimization of economic functions In this File you will find: - 1 Unconstrained Optimization Lecture Power Point Presentation 28 Slides - 1 Seminar Plan - 19 Seminar Activities with full answer list for students All covered materials are taught for bachelor level students Level 3. Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.

Univariable Functions is a topic which is covered during Mathematics Module. Agenda of Lecture: - Modeling - Sets - Properties of univariable functions - Applications of univariable functions In this File you will find: - 1 Univariable Functions Lecture Power Point Presentation - 1 Univariable Functions Seminar plan - 23 Activities/Exercise on Univariable Functions with full answers for those exercises All teaching materials are used for Bachelor Level Students.

Integration is one of the topic which is covered during Mathematics lectures and seminars in order to enhance students knowledge. During this Lecture and Seminar we are covering following subtopics (Agenda): •Indefinite integrals •Definite integrals •Applications of indefinite and definite integrals In this File you will find: - 1 Integration Lecture Power Point Presentation 25 Slides - 1 Seminar Plan - 13 Seminar Activities with full answer list for students All covered materials are taught for bachelor level students Level 3. Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.

MS Excel Applications is one of the topic which is covered during Mathematics lectures and seminars in order to enhance students knowledge. During this Lecture and Seminar we are covering following subtopics (Agenda): •Entering formulae •Sketching graphs •Descriptive statistics •Solving equations •Solving linear programming problems •Solving simultaneous linear equations In this File you will find: - 1 MS Excel Applications Lecture Power Point Presentation 17 Slides - 1 Seminar Plan - 13 Seminar Activities with full answer list for students All covered materials are taught for bachelor level students Level 3. Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.

Mathematics of Finance is one of the topic which is covered during Mathematics lectures and seminars in order to enhance students knowledge. During this Lecture and Seminar we are covering following subtopics (Agenda): - Indices and logarithms and their rules - Exponential functions - Applications of exponential functions - Limit and continuity of functions In this File you will find: - 1 Mathematics of Finance Lecture Power Point Presentation 28 Slides - 1 Seminar Plan - 19 Seminar Activities with full answer list for students All covered materials are taught for bachelor level students Level 3. Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.

Linear Programming is one of the topic which is covered during Mathematics lectures and seminars in order to enhance students knowledge. During this Lecture and Seminar we are covering following subtopics (Agenda): •Graphing linear inequalities •Graphing systems of linear inequalities •Linear programming problems •Applications of linear programming In this File you will find: - 1 Linear Programming Lecture Power Point Presentation 23 Slides - 1 Seminar Plan - 14 Seminar Activities with full answer list for students All covered materials are taught for bachelor level students Level 3. Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.

Constrained Optimization is one of the topic which is covered during Mathematics lectures and seminars in order to enhance students knowledge. During this Lecture and Seminar we are covering following subtopics (Agenda): • Optimization on the intervals • Method of substitution • Method of Lagrange multipliers In this File you will find: - 1 Constrained Optimization Lecture Power Point Presentation 24 Slides - 1 Seminar Plan - 18 Seminar Activities with full answer list for students All covered materials are taught for bachelor level students Level 3. Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.

Confidence Interval Estimation is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. Suppose you want to estimate the mean GPA of all the students at your university. The mean GPA for all the students is an unknown population mean, denoted by u. You select a sample of students and compute the sample mean, denoted by X, to be 2.80. As a point estimate of the population mean, u, you ask how accurate is the 2.80 value as an estimate of the population mean, u? By considering the variability from sample to sample (see Section 7.2, concerning the sampling distribution of the mean), you can construct a confidence interval estimate for the population mean to answer this question. When you construct a confidence interval estimate, you indicate the confidence of correctly estimating the value of the population parameter, u. This allows you to say that there is a specified confidence that u is somewhere in the range of numbers defined by the interval. After studying this chapter, you might find that a 95% confidence interval for the mean GPA at your university is 2.75 < u < 2.85. You can interpret this interval estimate by stating that you are 95% confident that the mean GPA at your university is between 2.75 and 2.85. In this chapter, you learn to construct a confidence interval for both the population mean and population proportion. You also learn how to determine the sample size that is necessary to construct a confidence interval of a desired width. In this lecture, you learn to: To construct and interpret confidence interval estimates for the population mean and the population proportion To determine the sample size necessary to develop a confidence interval for the population mean or population proportion How to use confidence interval estimates in auditing When to use a finite population correction factor in calculating a confidence interval for either µ or π How to use a finite population correction factor in calculating a confidence interval for either µ or π How to use a finite population correction factor in calculating a sample size for a confidence interval for either µ or π The concept of bootstrapping and when it makes sense to use it. In this file you will find: Confidence Interval Estimation Lecture Power Point Presentation Confidence Interval Estimation Test Bank with 183 different related questions with full answer description and explanation 68 Exercises related to the topic with all answers to them Confidence Interval Estimation Reading Resources file in order to enhance Lecturer/Teacher/Student knowledge Once you will purchase this resource please leave a comment! All resources are compressed in zip file. You can purchase this teaching resource with more than 20 % Discount by pressing this link. Use counpon code during checkout process: LOVETOTEACH

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 testing How to use hypothesis testing to test a mean or proportion The assumptions of each hypothesis-testing procedure, how to evaluate them, and the consequences if they are seriously violated Pitfalls & ethical issues involved in hypothesis testing How to avoid the pitfalls involved in hypothesis testing In this File you will find: Fundamentals of Hypothesis Testing: One-Sample Tests Lecture Power Point Presentation Test Bank for Fundamentals of Hypothesis Testing: One-Sample Tests with 181 Questions with answers 78 Exercises for Fundamentals of Hypothesis Testing: One-Sample Tests Plus reading resource on Fundamentals of Hypothesis Testing: One-Sample Tests in order to enhance you overall knowledge about the topic. Once you will purchase this resource please leave a comment! All resources are compressed in zip file.

Chi-Square and Nonparametric Tests is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. This lecture extends hypothesis testing to analyze differences between population proportions based on two or more samples and to test the hypothesis of independence in the joint responses to two categorical variables. The lecture concludes with nonparametric tests as alternatives to several hypothesis tests. Learning objectives: How and when to use the chi-square test for contingency tables How to use the Marascuilo procedure for determining pairwise differences when evaluating more than two proportions How and when to use nonparametric tests How and when to use the McNemar test How to use the Chi-Square to test for a variance or standard deviation How to use the Friedman rank test for comparing multiple population medians in a randomized block design In this File you will find: Chi-Square and Nonparametric Tests Lecture Power Point Presentation Test Bank for Chi-Square and Nonparametric Tests with 175 Questions with all answers to them 59 Exercises for Chi-Square and Nonparametric Tests lecture / seminar Plus reading resource on Chi-Square and Nonparametric Tests in order to enhance you overall knowledge about the topic. Once you will purchase this resource please leave a comment! All resources are compressed in zip file.