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SJSU Final Exam Bio 155/55 Questions and Correct Verified Answers Latest Version $12.49   Add to cart

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SJSU Final Exam Bio 155/55 Questions and Correct Verified Answers Latest Version

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2 x 2 Table 2 variables: -1 variable: treatment/ Intervention/ Factor -2nd variable: outcome/ Event There are frequencies analyzed in a 2 x 2 contingency table Risk -Probability an event will occur -Risk in one group: # of individuals with the outcome/ total # of individuals in that ...

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  • October 14, 2024
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  • 2024/2025
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MASTER01
1 | P a g e | © copyright 2024/2025 | Grade A+




SJSU Final Exam Bio 155/55
Questions and Correct Verified
Answers Latest Version
2 x 2 Table


✓ 2 variables:

✓ -1 variable: treatment/ Intervention/ Factor

✓ -2nd variable: outcome/ Event

✓ There are frequencies analyzed in a 2 x 2 contingency table




Risk


✓ -Probability an event will occur

✓ -Risk in one group: # of individuals with the outcome/ total # of

individuals in that group




Relative Risk:




Master01 | September, 2024/2025 | Latest update

, 1 | P a g e | © copyright 2024/2025 | Grade A+

✓ -Aka risk ratio

✓ -Ratio of risks for 2 groups

✓ -RR = (risk of intervention group/risk for reference group)

✓ -RR = 1 means risk is the same

✓ -RR > 1 patients with paclovid are more likely to be hospitalized than

placebo

✓ -RR<1 patients with paxlovid less likely to get hospitalized than placebo




Relative Risk reduction (RRR):


✓ -proportionate reduction in risk for the intervention group relative to

refrence group

✓ -RRR = ( risk for reference group - risk for intervention -group / risk for

refrence group ) x 100

✓ -Interpretation example: RRR= 88.8837%, paxlovid groups risk of HOD is

reduced by 88.9% relative to the placebo group

✓ -Reference = placebo group

✓ -Intervention = paxlovid




How was alpha =0.05 determined?




Master01 | September, 2024/2025 | Latest update

, 1 | P a g e | © copyright 2024/2025 | Grade A+

✓ -R.A. Fisher wrote a book in 1925 he put statistical tables used to

determine statistical significance

✓ -Needed a separate table for each df which was too many

✓ -He chose alpha= 0.05

✓ -Is arbitrary, feels reasonable, it works, socially accepted

✓ -intended as a first look

✓ -If alpha = 0.02 that means there is a 2% chance of making a type one

error. Decreasing type one error we increase the chance of a type two

error ( missing significant findings )




Using Alpha and Null Hypothesis significance Testing( NHST)


✓ -Caused by the p-value there is dichotomy( 2 outcomes ) which are

significant p< alpha and non significant p> alpha

✓ -Significant also called positive findings ( most published)

✓ -non significant also called negative findings (put in the file drawer)




Importance of negative findings




Master01 | September, 2024/2025 | Latest update

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