Please select the term that best matches its definition.

Question 1 options:

12345	The likelihood of new cases within a population.
12345	All of the data is centered around the mean; can easily use a Z statistic if population is over 30 people.
12345	Sample is a non-normal distribution; most likely need a t-statistic.
12345	The number of cases that are already established in that population.
12345	The variability in the sample should be smaller for larger sample sizes.

1.	Prevalence
2.	Central Limit Theorem
3.	Cumulative Incidence
4.	Parametric Data
5.	Non-parametric data

Methods

Biostatistics is generally known as the methods and results section of research. Please answer how the scenarios can be better managed in the methods section of a paper.You do not need to mathematically solve anything in this section

Question 2

An estimation of what will happen if there is no difference, no association, or null effect is called ________ hypothesis.

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Question 3

Write a null hypothesis, alternate hypothesis, and appropriate statistic for: four groups in a clinical trial show evidence of responding to a drug.

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Question 4

Write a null hypothesis, alternate hypothesis, and appropriate statistic for: a classroom of 15 students who want to know what the classroom average is compared to the previous semester.

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Question 5

Write a null hypothesis, alternate hypothesis, and appropriate statistic for: a runner wants to know if their mile time is better than everyone else in the running group (n=45).

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Data

Use the below information from the statistical excerpt to answer the questions below. The following questions will require open response equation solving and further explanation.

Question 6

influenza. noninfluenza. total

not vaccinated 35 5 40

vaccinated. 10 70 80

total. 45 75 120

The numbers in this table show that the proportion of people who were vaccinated and who subsequently got the flu is less than the proportion of people who were not vaccinated who subsequently got the flu.

Calculate the risk difference between those have been vaccinated and those who are not.Note: You need to calculate the incidence first.

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Question 7(10 points)

The numbers in this table show that the proportion of people who were vaccinated and who subsequently got the flu is less than the proportion of people who were not vaccinated who subsequently got the flu.

Time to sickness also helps us understand if a vaccine is effective. The researcher noted that those who were vaccinated got sick in 2.5 days (SD = 0.3) after known exposure when those who were not vaccinated got sick in 0.8 days (SD = 0.2) after known exposure.

Can the researcher conclude that the vaccine is more effective than not having one? Prove your answer.

Question 7 options:

Question 8

If the standard deviation in the previous example was instead, SD=0.2 and SD=2, what can we conclude?

Question 8 options:

	That this is normal and we can use the Central Limit Theorem.
	That the measurement of error is overlapping and we can adjust for it in an S(pooled).
	That this data is non-parametric and needs an alternative way of calculating.
	That the measurement of error is overlapping and we can continue with a z-test.

Question 9

Write at least one sentence about how you are progressing through the course (e.g., homework does/does not prepare you well, lectures, data walk though). Be as honest as you feel necessary - you'll get the points regardless. This class is meant to set you up for success, so if you feel like something can improve, let me know.

Question 9 options: