# Textbook Notes for MGMT 1050 at York University (YORKU)

• 73 Results
YORKMGMT 1050A L LFall

## MGMT 1050 Chapter Notes - Chapter 1-9: Pie Chart, Bar Chart, Average Absolute Deviation

OC12945925 Page
27 Feb 2015
45
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YORKMGMT 1050A L LFall

## MGMT 1050 Chapter Notes - Chapter 15: Form 10-Q, Test Statistic, Null Hypothesis

OC3411554 Page
4 Nov 2014
14
We will learn three chi-squared tests: goodness of fit test, a test for normality, test of a contingency table. Goodness of fit test: for every categor
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YORKMGMT 1050Alan MarshallFall

## MGMT 1050 Chapter Notes - Chapter 14: Variance, Null Hypothesis, Dependent And Independent Variables

OC21338613 Page
23 Nov 2013
38
Determines whether differences exist between population means. Procedure works by analyzing the sample variance. Procedure that tests to determine whet
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YORKMGMT 1050Alan MarshallFall

## MGMT 1050 Chapter Notes - Chapter 1-5: Pie Chart, Level Of Measurement, Bar Chart

OC136617713 Page
10 Dec 2016
4
Using graphical techniques that allow statistics practitioners to present data in ways that make it easy for readers to extract useful information. Can
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YORKMGMT 1050A L LFall

## MGMT 1050 Chapter Notes - Chapter 10: Household Income, Statistical Parameter, Interval Estimation

OC3411553 Page
4 Nov 2014
25
Objective: to determine the approximate value of a population parameter on the basis of a sample statistic: ex. the sample mean is supposed to be a goo
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YORKMGMT 1050A L LFall

## MGMT 1050 Chapter Notes - Chapter 14: Test Statistic, Statistical Hypothesis Testing, Weighted Arithmetic Mean

OC3411553 Page
4 Nov 2014
27
13. 1: inferences about the difference between two means: independent samples. To estimate the difference between two population means, the statistics
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YORKMGMT 1050Alan MarshallFall

## MGMT 1050 Chapter Notes - Chapter 8, 10 - 15: Null Hypothesis, Type I And Type Ii Errors, Confidence Interval

OC136617724 Page
10 Dec 2016
4
8. 1 probability density functions f(x) that approximates the curve (area of the histogram) Requirements for a probability density function: 0, 1. 0. U
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YORKMGMT 1050Alan MarshallFall

## MGMT 1050 Chapter Notes - Chapter 6 - 9: Mutual Exclusivity, Binomial Distribution, Posterior Probability

OC13661779 Page
10 Dec 2016
6
Random experiment: an action or process that leads to one of several possible outcomes. Assigning probabilities: produce a list of outcomes, must be ex
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YORKMGMT 1050A L LFall

## MGMT 1050 Chapter Notes - Chapter 13: Test Statistic, Statistical Hypothesis Testing, Level Of Measurement

OC3411553 Page
4 Nov 2014
12
13. 1: inferences about the difference between two means: independent samples. To estimate the difference between two population means, the statistics
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YORKMGMT 1050A L LFall

## Chapter 12 - Inference About a Population

OC3411553 Page
4 Nov 2014
20
12. 1: inference about a population mean when the standard deviation is unknown. Unrealistic to assume that you know population mean and population sta
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YORKMGMT 1050Hila CohenFall

## MGMT 1050 Chapter Notes - Chapter 1: Statistical Inference, Descriptive Statistics, The Technique

OC4933092 Page
20 Apr 2016
20
Statistics is a way to get information from data. The student has the data (marks) and needs to apply statistical techniques to get information her req
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YORKMGMT 1050Olga KraminerFall

## MGMT 1050 Chapter 16: CH 16 Notes part1

OC2959075 Page
20 Feb 2017
0
The purpose of simple regression analysis is to predict the value of one variable based on the value of one other variable using a mathematical equatio
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