I certify that the contents of this problem are my own work: Yes X No _
Question of scientific interest
Outcome measure
Design of study
Data analysis plan
Interpretation of results
Dissemination plan
. Likelihood for the geometric distribution.
I certify that the contents of this problem are my own work: YES
The geometric distribution describes the probability of a given number (x) of failures bef
Collaborative Key for SEP 1, Part
Section 8
TA: Jacob
Your participation in this collaborative key is due by 11:59pm on Thursday, September 14
2a. Calculate the population mean, median, and variance =
3. Performance of a screening test.
I certify that the contents of this problem are my own work: YES
Imagine you are a young doctor who is volunteering in an HIV clinic in Zimbabwe where the
prevalenc
Collaborative Key for SEP 2, Part 1
Section 8
TA: Jacob
Your participation in this collaborative key is due by 11:59pm on Thursday, September 21
1. In a sentence or two, explain how each of the follow
Collaborative Key for SEP 2, Part 2
Section 8
TA: Jacob
Your participation in this collaborative key is due by 11:59pm on Thursday, September 28
The table below contains data about mean log10 medical
2. Exploring the geometric distribution in R.
I certify that the contents of this problem are my own work: Yes _ No _
Here, we work with a specific geometric distribution with a known parameter p = 0.
Collaborative Key for SEP 1, Part 1
Section 8
TA: Jacob
Your participation in this collaborative key is due by 11:59pm on Thursday, September 7
1. Guesstimate the probability of each of the events bel
I certify that the contents of this problem are my own work: Yes X No _
> load("C:/Users/rsaeed2/Downloads/chocdatDF(1).rda")
> names(chocdatDF)
[1] "sex"
"sat"
"priorPref"
"T1choc"
[5] "T1score"
"T2c
Public Health Biostatistics
Fall 2016
Self Evaluation Problems 3 (SEP-3)
You may work with other people to reason through and understand this assignment, but
any write up needs to be done independentl
Probability of a Single Event A
Intersection of two events
Conditional probability
Independence: if A and B are
independent
Mutually Exclusive: if A and B
are mutually exclusive
Mutually