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BIO 510/710 Exam 1 - Statistical Inference, Exams of Biostatistics

A fall 2001 exam for a statistical inference course, bio 510/710. It includes 20 multiple-choice questions worth 5 points each, covering topics such as statistical inference, frequency distribution, normal distribution, interval and ratio scales, statistics vs. Parameters, kurtosis vs. Skewedness, null hypothesis vs. Alternate hypothesis, one-tailed vs. Two-tailed testing, significance level vs. Critical value, and calculating mean, median, mode, and estimating population percentiles. The document also includes a section for explanations, covering the power of a statistical test and ways to increase it.

Typology: Exams

Pre 2010

Uploaded on 08/16/2009

koofers-user-sp4
koofers-user-sp4 🇺🇸

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BIO 510/710 Exam #1 Fall 2001
Name:
Directions: Answer all questions thoroughly in a neat, clear, and organized manner. I assume
you know nothing, so your answer must fully demonstrate your understanding of the concept(s).
Show all your work for full/partial credit. There are 20 questions worth 5 points each for 100
total points on this test.
A. Define the following as they relate to statistical inference:
1. Statistical inferrence
2. Frequency distribution
3. Normal distribution
B. Compare and contrast the following, clearly defining each term and giving an example of
each
1. Interval scale vs. Ratio scale data
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BIO 510/710 Exam #1 Fall 2001

Name:

Directions: Answer all questions thoroughly in a neat, clear, and organized manner. I assume you know nothing, so your answer must fully demonstrate your understanding of the concept(s). Show all your work for full/partial credit. There are 20 questions worth 5 points each for 100 total points on this test.

A. Define the following as they relate to statistical inference:

  1. Statistical inferrence
  2. Frequency distribution
  3. Normal distribution

B. Compare and contrast the following, clearly defining each term and giving an example of each

  1. Interval scale vs. Ratio scale data
  1. Statistic vs. Parameter
  2. Kurtosis vs. Skewedness
  3. " error vs. $ error
  4. Null hypothesis vs. Alternate hypothesis
  1. Considering the data in the previous problems, we can estimate that 95% of the possible observations within the population lie between what low and high values? Explain.
  2. We can also say that we are 95% sure that the true mean lies between what low and high value? Explain.
  3. For a large population (i.e., several million) of gooberwahn, the mean mass is 12.5 kg and the standard deviation 2.5. If a random sample of 1000 is collected, how many individuals in this sample would you expect to be between 10 and 11 kg? Explain as needed.

D. Explanations

  1. What is meant by the “power” of a statistical test, and how can you increase the power?