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During the First Six Months of the American Civil War

question 8

Essay

During the first six months of the American Civil War, armies were amassed as never
before in history. Large groups of men, transported far from home, lived in
conditions that bred sickness. In a recent study involving Confederate muster rolls, a
researcher constructed a cumulative relative frequency distribution of the percentages
of Confederate soldiers reported sick for each company. A "Company" is a unit of
soldiers, usually between about 70 and 120 in size. The cumulative relative
frequency distribution for December, 1861, is shown below. During the first six months of the American Civil War, armies were amassed as never before in history. Large groups of men, transported far from home, lived in conditions that bred sickness. In a recent study involving Confederate muster rolls, a researcher constructed a cumulative relative frequency distribution of the percentages of Confederate soldiers reported sick for each company. A  Company  is a unit of soldiers, usually between about 70 and 120 in size. The cumulative relative frequency distribution for December, 1861, is shown below.   (a) Approximately what proportion of the Confederate companies had less than 10% sick? (b) Approximately wh at proportion of the Confederate companies had more than 30% sick? (c) Approximately 50% of the companies had less than what percentage of soldiers sick? (a) Approximately what proportion of the Confederate companies had less than 10%
sick?
(b) Approximately wh at proportion of the Confederate companies had more than 30%
sick?
(c) Approximately 50% of the companies had less than what percentage of soldiers
sick?


Definitions:

Explanatory Variables

Factors in a statistical model employed to account for changes in the outcome variable.

Multicollinearity

A statistical phenomenon in which two or more predictor variables in a multiple regression model are highly correlated, potentially distorting the results of the model.

Variables

Elements, characteristics, or features that can assume different values in a study or experiment, influencing the outcomes being measured.

Multiple Regression Analysis

A statistical process that involves using a range of explanatory variables to predict the behavior of a dependent variable.

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