Need help with finding Ho: and H1: u1=mean age of patients who do NOT develop SSIu2= mean age of patients who do develop SSIUse a significance level of a=0.05 Locate the "Summary Table" for "Categorical Variables" and read this table.Summary TableCategorical VariablesEnter the sample sizes, number of obsenrvations in SALT, for these two groups in the table.Surgical Site Ifection (SSI)Sample SizeMean AgeStandard deviationNo Infection26782,678Yes Infection241241Part 2 of 6For SALT to calculate the mean age and standard devietion for each patient group, the data needs to begrouped by Infection status. We will do this on the "Charts and Graphs" page by creeting a histogram of theages for eech infection status group.Click on the "Charts and Graphs tab along the top menu barAGE SALT: Statistical Analysisand Learning ToolngDESCRIPTIVE STATISTICSCHARTS AND GRAPHSTRIBUTION CALCULATORSThere are eevara types.of crame and grepre SALT can drathese are listed celonthe too meru car on the'Chams and Grapre cege. Hstogrem1e the befaut cholce and this s the type of graph ve will createIn the Secaings menu an che ERofthe soreen se ec ge the Verabe to Graph menu and 551 n theGroup.ng Ve1eolameru These selections will result in SALT drawing a histogram of the ages of patients who did not develop SSI and ahistogram of the ages of the patients who did develop 5SL.Scroll further down the page to see the Summary Table below the graphs. Here is where SALT displays thesample mean age and standard deviation for the two patient groups.Enter the mean age and standard deviation for these two groups in the table, rounded to three decimal places.Surgical Site Infection (SSI)Sample SizeMean AgeStandard deviationNo Infection2,67852.45652.45616.89116.891Yes Infection24153.82853.82815.85215.852Part 3 of 6We need to verify the assumptions for using the two-sample t test for comparing two population means toanalyze this dataset.First, the two samples must be independent and randomy selected. The data were collected from 2,919surgeries and we have no reason to believe that this sample is not representattive of the population of patientswho undergo this type of surgery and since a patient will either develop a surgical site infection or will notdevelop one, the two groups are independent. This indicates that the first assumption has beenhas been met.Second, the sample s zes generally should be 30 or larger. We have 2.678 petients with no SSI and 241patients with SSI. This indicates that the second assumption has beenhas beenl met.

Let us consider the data relating to patients who do not develop SSI as first sample Given that…

Answered: Need help with finding Ho: and H1:…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Need help with finding Ho: and H1: u1=mean age of patients who do NOT develop SSI u2= mean age of patients who do develop SSI Use a significance level of a=0.05

Locate the "Summary Table" for "Categorical Variables" and read this table.
Summary Table
Categorical Variables
Enter the sample sizes, number of obsenrvations in SALT, for these two groups in the table.
Surgical Site Ifection (SSI)
Sample Size
Mean Age
Standard deviation
No Infection
2678
2,678
Yes Infection
241
241
Part 2 of 6
For SALT to calculate the mean age and standard devietion for each patient group, the data needs to be
grouped by Infection status. We will do this on the "Charts and Graphs" page by creeting a histogram of the
ages for eech infection status group.
Click on the "Charts and Graphs tab along the top menu bar
AGE SALT: Statistical Analysis
and Learning Tool
ng
DESCRIPTIVE STATISTICS
CHARTS AND GRAPHS
TRIBUTION CALCULATORS
There are eevara types.of crame and grepre SALT can drathese are listed celonthe too meru car on the
'Chams and Grapre cege. Hstogrem1e the befaut cholce and this s the type of graph ve will create
In the Secaings menu an che ERofthe soreen se ec ge the Verabe to Graph menu and 551 n the
Group.ng Ve1eolameru

These selections will result in SALT drawing a histogram of the ages of patients who did not develop SSI and a
histogram of the ages of the patients who did develop 5SL.
Scroll further down the page to see the Summary Table below the graphs. Here is where SALT displays the
sample mean age and standard deviation for the two patient groups.
Enter the mean age and standard deviation for these two groups in the table, rounded to three decimal places.
Surgical Site Infection (SSI)
Sample Size
Mean Age
Standard deviation
No Infection
2,678
52.456
52.456
16.891
16.891
Yes Infection
241
53.828
53.828
15.852
15.852
Part 3 of 6
We need to verify the assumptions for using the two-sample t test for comparing two population means to
analyze this dataset.
First, the two samples must be independent and randomy selected. The data were collected from 2,919
surgeries and we have no reason to believe that this sample is not representattive of the population of patients
who undergo this type of surgery and since a patient will either develop a surgical site infection or will not
develop one, the two groups are independent. This indicates that the first assumption has been
has been met.
Second, the sample s zes generally should be 30 or larger. We have 2.678 petients with no SSI and 241
patients with SSI. This indicates that the second assumption has been
has beenl met.

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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