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Of 1338 people who came into a blood bank to give blood, 253 people had high blood pressure. Estimate the probability that the next person who comes in to give blood will have high blood pressure.
Based on these data, does it seem that strength of relationship between sales and promotions expenditures is enough to permit using linear regression forecasting model? Describe why?
Individual loss amounts (ground up) this year follow an inverse Weibull distribution with τ= 3 and expected value 1000. Next year you con?fidently expect loss amounts to in?ate by 10% uniformly across the board.
Determine new, standardized score for each of following values from original population.
Discuss whether this variable should be placed in the model as an ordinary quantitative variable or by means of four 0, 1 indicator variables.
Calculated test statistic, decision about the null hypothesis interpretation of results, and a list of references consulted.
Open data file on your excel file AirlinePassengers . Point to the level of data (nominal, ordinal, ratio, or interval) measurement for each variable in data set. Notice tab for description gives information about data.
Test the claim that the mean age of the prison population in one city is less than 26 years. Sample data are summarized as n = 25, x = 24.4 years, and s = 9.2 years. Use a significance level of α = 0.05.
Survey of 16 tax returns reports families with incomes between $75,000 and 100,000 have on average $8,562 in Standard Deductions with the standard deviation of $1,800.
A simple random sample of 50 adults is obtained, and each person's red blood cell count (in cells per microliter) is measured. The sample mean is 5.23 and the sample standard deviation is 0.54. Use a 0.01 significance level to test the claim that ..
Z score on comparison distribution for sample score and your conclusion. Suppose that all population are normally distributed.
Find the probability of failure of system for any 4 hours of operation?
Setup the alternative hypothesis that will test the claim that the percentage of women preferring white wine is 25% higher than men.
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