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Statistics questions - normal and continuous

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1. What are the characteristics of a normal distribution?

2. List some examples of continuous data.

3. What is the name of the distribution that measures the number of occurrences of an event during specified intervals?

4. What would be the characteristics of a binomial distribution?

5. A population consists of ten items, six of which are defective. In a sample of three items, what is the probability that exactly two are defective?

6. A Federal study reported that 7.5 percent of the U.S. workforce has a drug problem. A drug enforcement official for the State of Indiana wished to investigate this statement. In his sample of 20 employed workers:
a. How many would you expect to have a drug problem? What is the standard deviation?
b. What is the likelihood that none of the workers sampled has a drug problem?
c. What is the likelihood at least one has a drug problem?

7. What is "Bias"?

8. What is the Central Limit Theorem? What does it imply?

9. What is sampling error? How is it calculated?

10. What are the three measures of central tendency?

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Solution Summary

This solution addresses 10 short-answer basic statistic questions.

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  • BSc , Wuhan Univ. China
  • MA, Shandong Univ.
Recent Feedback
  • "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
  • "excellent work"
  • "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
  • "Thank you"
  • "Thank you very much for your valuable time and assistance!"
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