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Briefly explain and summarise the output and outline

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Reference no: EM132250666

Guidelines and questions: INTRODUCTION In the SPSS file "Time in Emergency Dept.Sav" you will find data for a sample of 500 patients who visited the Fords Hospital Emergency Department.

It includes the following variables - Patient Code - Day of admission - Month of admission - Admitted (0 = Patient not admitted to Main Hospital, 1 = Patient admitted) - Time Spent in Emergency Department - Triage (Severity of Condition - 1=Blue, 2=Yellow, 3=Green, 4=Orange, 5=Red) This assessment is made by a nurse when a patient arrives in the Emergency Department, to assess how serious a patients condition is, where 1 (Blue) is minor and 5 is (Life threatening) - Age of patient - Gender

(a) Generate the relevant univariate and bivariate descriptive statistics for this data. Briefly comment on you results. Marks will be awarded for variety of descriptive techniques used and use of appropriate statistics.

(b) Use statistical tests to test the following hypotheses

(i) Is there a significant difference in the amount of time spent time on average in the emergency department by males and females?

(ii) Is there a significant difference in the amount of time spent time on average in the emergency department by patients arriving on different days?

(iii) Is there a difference in the proportion of males and females who are admitted to hospital? Briefly explain and summarise the output and outline any assumptions made.

Attachment:- Time in Emergency 40.rar

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This paper has been divided into two parts. The first part answers descriptive Statistics. The second part is about t-tests analysis such as Anova, one sample t-test and independent sample t-tests.

Reference no: EM132250666

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Reviews

inf2250666

8/19/2019 3:19:39 AM

I got what I expected from you guys. Research is properly followed by providing the right justification. Statistical tools are properly used to justify the hypothesis. Great thanks for your accurate services.

inf2250666

8/19/2019 3:17:15 AM

Your research should be properly explained with the proper hypothesis and make sure you provide proper statistical justification to provide a proper rating for each question.

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