# Work Time Return in Knee Replacement & Interpretation

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Use appropriate graphical and summary measures to describe job classification Frequency table |Job-classification | |Frequency|||Valid Percent |Cumulative | || |Percent |Valid| |Count| ||Gender|Total | ||Gender|Total | |agegroup|Below 40 |24 |26 |50 | |40-49 |20 |22 |42 | || |50-59 |18 |33 | ||51 | || |60 and above|22 |39 |61 | |Total |84 |120

## Work Time Return in Knee Replacement & Interpretation

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Table of ContentsINTRODUCTION................................................................................................................................3QUESTION 1.......................................................................................................................................3A. Use appropriate graphical and summary measures to describe job classification.......................3B. Use appropriate graphical and summary measures to describe age distribution.........................4C. Hypothesis test.............................................................................................................................5QUESTION 2.......................................................................................................................................6A. Calculation of the proportion of people who have knee replacement (TKR) & interpretation...6B. Hypothesis test.............................................................................................................................7QUESTION 3.....................................................................................................................................12A. Hypothesis test to examine difference between work time return in TKR and UKA...............12B. Hypothesis test to compare the mean weight difference between people with TKR & UKA...14C. Examine that how many subjects are require to study to have 90% power...............................14QUESTION 4.....................................................................................................................................15Short report to summarize the results.............................................................................................15REFERENCES...................................................................................................................................172
INTRODUCTIONIn the current times, business analyst make use of various statistical software for analysing andexamining the huge set of data using appropriate statistical tools and techniques (Janssen and Laatz,2017). The present assignment aims at making data analysis using variety of techniques likeregression, descriptive, t-test and others in SPSS software. QUESTION 1A. Use appropriate graphical and summary measures to describe job classificationFrequency table Job-classificationFrequencyPercentValid PercentCumulative PercentValidActive7938.738.738.7Sendentry5125.025.063.7None7436.336.3100.0Total204100.0100.03
Interpretation: From the graph, it can be seen that there are 79 (38.7%) members who are foundedunder Active job classification. However, 74 members at 36.3% were observed under the nonecategory, in contrast, remaining 51 people (25%) were prevails under the Sendentry jobclassification. B. Use appropriate graphical and summary measures to describe age distributionCross tabulation agegroup * Gender CrosstabulationCountGenderTotalMalefemaleagegroupBelow 4024265040-4920224250-5918335160 and above223961Total841202044

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