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Research by the Illinois Banking Company revealed that only 10 percent of their customers wait more than five minutes to do their banking. Management considers this reasonable and will not add more tellers unless the proportion becomes larger than 10 percent. The branch manager at the Litchfield Branch believes that the wait is longer than the standard at her branch and requested additional part-time tellers. To support her request the branch manager reported that in a sample of 100 customers, 14 waited more than five minutes. AT the 0.01 significance level, is it reasonable to conclude that more that 10 percent of the customers wait more than five minutes?
brief discussion telling why you chose this particular data set to study. As in discussion two, I am hoping that you will choose data that has some relevance to your life.
In a survey of 8000 woman, 5431 say they change their nail polish once a week. Construct a 99% confidence interval for the population proportion of woman who change their nail polish once a week. A 99% confidence interval for the population is??
The results of a recent poll on the preference of shoppers regarding two products are shown below.
Find the probability of getting a queen and a spade.
When we take the sample of 100 of these average is $500 and SD is $100. (a) Determine statement to make about range $300 to $700?
By using this data and incorporating seasonal effects, predict quarterly turnover for 2010.
Determine whether the description corresponds to an observational study or an experiment. Thirty university students are divided into two groups, one group receives free tutoring in mathematics, the other does not.
In a large university, 15% of the students are female. If a random sample of twenty students is selected,
That they all had false positive results. Is it unusual to arbitarily choose 3 subjects without replacement and get three results which are all false positive results? Describe.
What is a test of a proportion and give an example. What test do you use when one sample is small and the other large?
Using the .10 level of significance, can we conclude that the assembly time using the new method is faster?
Our customers expect a call to be completed in 22 minutes. Using the data above, does either of our call centers meet this expectation with an alpha level of 0.05?
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