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Employer A states the average number of days missed in a year by each staff member is 4.0. Office personnel randomly sampled a portion of their attendance records to determine if this claim was accurate. For the previous year, the following data was obtained from the sample group, regarding absences for that year: 4, 4, 3, 2, 6, 8, 7, 1, 9, 3, 1, and 6. At the .05 level of significance, is there convincing evidence that the number of absences per employee has increased?
Once again, suppose that the standard deviation of the average or median is $5.00. Which is the probability that the average or median of the sample is greater than $22.50 but less than $25.00?
What is the maximum error of estimate for p ?
At.01 significance level is it sensible to conclude that modification decreased the number of traffic accidents?
An educational study uses a simple pre-post design to assess the efficacy of a computer tutor for solving inequalities. Twelve pilot students participate. Each student is given a pre-test, then participates in six sessions using the tutor, then i..
Compute the correlation among the variables. Describe perfect correlation also negative correlation. Utilize the following data to answer questions related.
What is the null hypothesis? Use a = 0.05 .
Set-up/solve the problem graphically. (How many ceiling fans and how many floor fans should be made?)
An advisory group decided to investigate this claim, believing it was too large. A sample of 200 traffic accidents this year showed 74 persons were also involved in another accident within the last five years. Use the 0.01 significance level. Show..
If you have a statistical package that computes binomial probabilities, find the probability that at least five funds outperform the market in all 10 years.
You want to know whether the population means are different in the two populations. Conduct an hypothesis test using an alpha of .05 and the critical value method.
Calculate separate confidence intervals for the numbers of days absent for Clinic A and Clinic B, respectively.
A study regarding the relationship between age and the amount of pressure sales personnel feel in relation to their jobs revealed the following sample information.
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