Submit completed tests as word or pdf files via email to paul.kurose@seattlecolleges.edu
Due: Sunday, May 19 (by 8am).
1. a) In Chapter 6, you learned to find interval estimates for two population parameters, a population mean and a population proportion. Explain the meaning of an interval estimate of a population parameter.
An interval estimate for a specified population parameter (such as a mean or proportion) is a range of values in which the parameter is estimated to lie. In Chapter 6, you were assigned to find interval estimates for a population mean and a population proportion. b) Is finding an interval estimate an example of inferential or descriptive statistics? Explain.
It is an interval estimate is an example of
The sample size needed is 2401 5. Go to the Gallup Poll website: http://www.gallup.com/poll/158060/unadjusted-unemployment-mid-october.aspx to find an estimate of U.S. Unemployment Rate. a) Identify the population parameter for which the estimate is given. The unemployment rate of the U.S. is 7.3% b) Identify the point estimate, margin of error, and confidence level for the given estimate. The point estimate is 7.64 and the margin of error is 0.26 and the level of confidence given is 95% c) Identify the sample size used and briefly describes how the survey was conducted. The sample size was more than 30.000 U.S. Adult and the survey was conducted by randomly calling the participants on their cellphone or house lines. d) Identify two sources of potential error or bias (identified in the article) in addition to sampling error. The randomness of their sample, a case could be made that they may have missed more unemployed because they lost their phones due to their unemployment thus cannot participate. It was also bease on those that answered the phones, which can potentially skew the results in that maybe those that didn’t answer were employed and busy at work giving the unemployed more chances of answering their calls.
6. Write the null and alternative hypothesis corresponding to the given claim. Identify the test as left-tailed, right-tailed, or two-tailed. a) A