# Biostatistics Exam #3

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 Author: mcucullu ID: 47427 Filename: Biostatistics Exam #3 Updated: 2010-11-09 09:04:06 Tags: estimates sample sizes one sample estimation population proportion estimation population mean σ known estimation population mean σ not know hypothesis testing one sample basics hypothesis testing testing claim about proportion testing claim about mean σ known testing claim about mean σ not know Folders: Description: All information leading up to the third examination for PHCY 4600. Show Answers:

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1. What are the two types of inferential statistics?
• 1) Estimation
• 2) Hypothesis Testing
2. What are the two types of Estimation?
• 1) Point Estimation
• 2) Interval Estimation
3. What is the difference between the two types of Estimation?
A point estimate of a population parameter is a single value of a statistic. For example, the sample mean x is a point estimate of the population mean μ. Similarly, the sample proportion p is a point estimate of the population proportion P.

An interval estimate is defined by two numbers, between which a population parameter is said to lie. For example, a < x < b is an interval estimate of the population mean μ. It indicates that the population mean is greater than a but less than b.
4. The normal distribution is appropriate if what two conditions are valid?
• 1) np ≥ 5
• 2) n(1-p) ≥ 5
5. What does it mean to fall in the shaded area labeled 95%?
The interval estimate of a confidence interval is defined by the sample statistic ± margin of error. For example, we might say that we are 95% confident that the true population mean falls within a specified range. This statement is a confidence interval. It means that if we used the same sampling method to select different samples and compute different interval estimates, the true population mean would fall within a range defined by the sample statistic ± margin of error 95% of the time.
6. What are the confidence coefficients of the following confidence percentages:

1) 90%
2) 95%
3) 99%
• 1) ± 1.645
• 2) ± 1.96
• 3) ± 2.575
7. What are the four steps involved in testing hypotheses about population parameters?
• 1) Statement of the pair of hypothesis to be tested
• 2) Test statistic (formula)
• 3) Make a statistical decision
• 4) Nonstatistical decision
8. What are the three possible pairs of hypotheses and their corresponding key terms?
• 1) H0 H0 affect, difference vague
• 2) H0 > H0 increase, more than, greater, takes directon
• 3) H0 < H0 decrease, less than, lower, takes direction

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