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A company is studying the number of monthly absences among its 125 employees. The following probability distribution shows the likelihood that people were absent 0, 2, 4, 6, 8, or 11 days last month. Number of days absent Probability 0 0.30 2 0.27 4 0.05 6 0.30 8 0.08 11 0 What is the mean number of days absent?
0.08 0.19 0.91 3.18
the central limit theorem can be used to analyze round-off error. suppose that the round-off error is represented as a
High principal has decided to give an award to any student who scores in the top 10% of statewide scores. How high should a student score be to win this award? Give your answer to the nearest integer.
The time to complete a construction project is onrmally dsitributed with a mean of 60 weeks and a standar deviation of 4 weeks. What is the probability the project will be finished in 62 weeks or less?
a sample of 100 bugs yields an average weigh tof 7.7 ounces. assume the population st.dev is 0.8 oz what is the margin
A random sample of 14 days shows Xbar = $502.95 and s = $64.00. You can assume normality. Using alpha = 4%, is the sampling result significant? Explain.
Compute the approximate jp-value associated with the test statistic. Does the sample data support the null hypothesis at the a- 0.05 level?
It has been claimed that women live longer than men; however, men tend to be older than their wives. Ages of sixteen husbands and wives from England were obtained. The null hypothesis of equality of means is rejected. What conclusion can be made f..
Construct an 80% confidence level using a t-distribution for the mean age. Round your answer to two decimal places.
Find out the range (R), variance (V) and standard deviation (s) for the given set of values:
in a certain city 30 of the families have a mastercard 20 have an american express card and 25 have a visa card.
Clearly define the dependent and independent variables that are the focus of the team's study. The dependent variable is the variable whose value is the result or is a function of the control or independent variables.
At.01 significance level, is there relationship between job pressure and age?
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