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Comprehensive Healthcare Application - Assignment

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College of the Canyons

   

Statistics (MATH 211)

   

Added on  2020-03-01

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In this assignment, we will use the data set to develop a position paper for the county health department describing the importance of the data and how this data will impact clinical practice. This assignment will identify the dependent and independent variables, and explain a null hypothesis using the dataset.

Comprehensive Healthcare Application - Assignment

   

College of the Canyons

   

Statistics (MATH 211)

   Added on 2020-03-01

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Statistics assignment1TitleStudent’s nameProfessorCourse titleDate
Comprehensive Healthcare Application - Assignment_1
Statistics assignment2Question oneThis data represents the number of deaths caused by accidents that have occurred in differentstates and profiled according to age and gender. Therefore it this case a dependent orindependent variable can only be identified in the context of a given test. As they are now, any ofthe variables can be a dependent or an independent variable according to how it is used in aparticular test. The data link is as provided below.datalinkQuestion twoTo explain a null hypothesis, let us use number of deaths of females in 2012 and the number ofdeaths of males in the same year. We may want to establish whether there is a significantdifference in the number of females and males deaths that occur as a result of road accidents inthe various states. Ideally, since accident is not a planned event so that it just kills a particulargender, we do not expect it to follow a particular pattern in claiming people of different genders.So basing on this assumption, it is expected that the number of deaths due to accident among themales should just be more or less the same number of deaths among the females that occur due toaccident. Therefore, a null hypothesis is always about maintaining a status quo[ CITATION Win10 \l1033 ]; how things are expected to be naturally. In this example, we can have the wholehypothesis about the scenario as below;Hypothesis H0 (null hypothesis): There is no significant difference in the number of deaths between males and females caused by road accident in 2012 in the states.
Comprehensive Healthcare Application - Assignment_2
Statistics assignment3VersusH1(alternative hypothesis): There is no significant difference in the number of deaths between males and females caused by road accident in 2012 in the states.Question threeProbability distribution for the number of deaths for all agesFigure 1It can be observed from the histogram above that the number of deaths for all the ages in thestates is normally distributed. This is indicated by the normal distribution curve. The curve has asharp peak hence kurtic.
Comprehensive Healthcare Application - Assignment_3
Statistics assignment4Question four(a)Test for correlation between number of deaths of males and females in 2012. The resultsof the correlation test is as in the table below;Correlationsmale_2012female_2012male_2012Pearson Correlation1.899**Sig. (2-tailed).000N5151female_2012Pearson Correlation.899**1Sig. (2-tailed).000N5151**. Correlation is significant at the 0.01 level (2-tailed).Table 1From the correlation table above, it can be observed that the Pearson correlation coefficient is .89. This is a very strong correlation which has got a positive direction. This indicates that the male and female number of deaths due to accidents have got a positive and significant relationship. The two variables are male_2012 and female_2012
Comprehensive Healthcare Application - Assignment_4

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