Staph Infections. In the article "Using EDE, ANOVA and Regression to Optimize Some Microbiology Data" (Journal of Statistics Education, Vol. 12, No. 2, online), N. Binnie analyzed bacteria culture data collected by G. Cooper at the Auckland University of Technology. Five strains of cultured Staphylococcus aureus bacteria that cause staph infections were observed for 24hours at 27oC. The following table reports bacteria counts, in millions, for different cases from each of the five strains.

At the 5%significance level, do the data provide sufficient evidence to conclude that a difference exists in mean bacteria counts among the five strains of Staphylococcus aureus? (Note: T1=104,T2=129, T3=185,T4=98,T5=194,Σx2i=25,424.)

Short Answer

Expert verified

At the 5%level, the data on bacteria number among the 5 distinct staphylococcus aureus strains does not provide enough information to draw the conclusion that there is a difference in mean bacteria number among the 5 different staphylococcus aureus strains.

Step by step solution

01

Given information

The given table is

T1=104

T2=129

T3=185

T4=98

role="math" localid="1652185103283" T5=194

Σxi2=25,424.

02

Explanation

The hypothesis is

H0:μ1=μ2=μ3=μ4=μ5

Ha:Not all the mean are equal

The value of α=0.05

Using the given values find the value of the test statistic

F=MSTR/MSE

F=2.23

The value of critical value is 2.87

Here the test statistic <critical value

P(P=0.103)>0.10

It usually does not reject H0.

At the 5%level, the data on bacteria number among the 5 distinct staphylococcus aureus strains does not provide enough information to draw the conclusion that there is a difference in mean bacteria number among the 5 different staphylococcus aureus strains.

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