Question

Bioinformatics

What type of box model is suitable for computing the bootstrap confidence interval for paired datasets?

O a.Re-centered two-box with replacement

O b. One-box paired deltas with replacement

c. Two-box resampling with replacement

O d. One-box paired deltas without replacement

O e. Big-box resampling with replacement

Verified

### Question 43040

Bioinformatics

Suppose a posterior probability was 0.05 for a COVID test. What would be your conclusion?
O c. If you had a positive antibody test for COVID, there is a 5% chance that you actually had COVID
O b. Every 5th person has COVID and you are one of them
O a. If you had a 5% chance of testing positive, you will have COVID

### Question 43039

Bioinformatics

Compute a posterior probability of you having the COVID-19, i.e., P(COVID|+), given that you tested + to the antibody test. Assume sensitivity = specificity = 90% and prevalence as you computed inQ29.
O a. 0.0625O b. 0.026367O c. 0.03967O d. 0.0397O e. 0.0497O f. 0.00587

### Question 43038

Bioinformatics

Drag and drop the various terms into the correct boxes to compute the posterior probability of you having the COVID-19.

### Question 43037

Bioinformatics

Suppose there are 115,192 confirmed COVID-19 cases in California with a population of 39.5 million people, what is the prevalence?
O a. 3%O b. 33.333%O c. 3 out of every 1000 peopled. 3 out of every 100 people

### Question 43036

Bioinformatics

Which of the following is/are synonymous with P(COVID-19)?
O a. PrevalenceO b. Specificityc. 1- SpecificityO d. Sensitivity

### Question 43035

Bioinformatics

Which of the following is/are synonymous with P(+ | COVID-19)?
b. Prevalence
Oc.Specificity
O d. 1- Specificity
O a.Sensitivity

### Question 43034

Bioinformatics

Which of the following is/are synonymous with posterior probability, also known as the positive predictive value? Select all that apply.Note: Wrong answers result in 50% points deduction on this question. Please choose wisely.
O b. Sensitivity
a. Prevalence
O c. Bayesian probability
d. Conditional probability, P(COVID-19 | +)

### Question 43033

Bioinformatics

As you must know, an alpha cutoff of 0.2 is unheard of. In which of the following circumstances would you accept such a high alpha due to high social cost of a false negative (despite the increase in likelihood of false positives due to high alpha)?
O c.Convicting a person accused of shoplifting
O b. Diagnosis of colon cancer
Hiring a fraudulent real estate agentO a.
O d. Diagnosis of engine failure
O e.Detecting saltiness in seafood

### Question 43032

Bioinformatics

Why do you use nested for-loops when you compute power using the bootstrap approach?
O d. This is how we create a phantom world
O aThe inner loop computes a p-value, while the outer loop simulates a number of phantom studies
O b. To compute power twice and make sure it is done correctly!
O c. To enable simulation of n^n studies so we have a high power study

### Question 43031

Bioinformatics

Which of the following is/are true statement(s) about the power of a study? Select all that apply.Note: Wrong selection results in points deduction on this question. Please choose wisely
O d. Given an effect size, increasing the variability of samples increases power
O a.Given an effect size, increasing the sample size increases power
O b. Given an effect size, increasing alpha cutoff increases power
c. Power is invariant to the magnitude of effect size for a given alpha cutoff and sample size