# Textbook Notes for MGCR 271 at McGill University

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- About MCGILL

## MGCR 271 Chapter Notes - Chapter 4: Statistical Inference, Sampling Distribution, Sample Space

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Statistical inference uses data to draw conclusions about the population or process from which the data come. The conclusion of inferences includes a s

View Document## MGCR 271 Chapter Notes - Chapter 2: Dependent And Independent Variables, Scatter Plot

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The proper analysis depends on whether the variables are categorical or quantitative and on whether one is an explanatory variable and the other a resp

View Document## MGCR 271 Chapter Notes - Chapter 7: Statistical Inference, List Of Statistical Packages

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The one-sample procedures do inference about one mean. Matched pairs studies use one-sample procedures because you rst create a single sample by taking

View Document## MGCR 271 Chapter Notes - Chapter 1: Pareto Chart, Pie Chart, Standard Deviation

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Make a bar graph, pie chart, and/or pareto chart of the distribution of a categorical variable. Interpret bar graphs, pie charts, and pareto charts. Ma

View Document## MGCR 271 Chapter Notes - Chapter 6: Null Hypothesis, Statistical Inference, Standard Deviation

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Statistical inference draws conclusions about a population on the basis of sample data and uses probability to indicate how reliable the conclusions ar

View Document## MGCR 271 Chapter Notes - Chapter 10: Statistical Inference, Dependent And Independent Variables, Scatter Plot

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## MGCR 271 Chapter Notes - Chapter 11: Simple Linear Regression, Dependent And Independent Variables, Standard Deviation

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## MGCR 271 Chapter Notes - Chapter 14: Null Hypothesis, Multiple Comparisons Problem, Analysis Of Variance

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Advanced statistical inference often concerns relationships among several parameters. The anova test tests for the equality of the means of any number

View Document## MGCR 271 Chapter Notes - Chapter 3: Simple Random Sample, Randomized Experiment, Dependent And Independent Variables

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Designs for producing data are essential parts of statistics in practice. Random sampling and randomized comparative experiments are perhaps the most i

View Document## MGCR 271 Chapter 8: MGCR 271 - Chapter 8

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Inference about population proportions is based on sample proportions. A sample proportion has a distribution that is close to normal unless the sample

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