Calculate the expected number of car accidents under conditions a, b and c: Based on an employee survey, you find that 48% 48-48% out of 200 have already received this year`s flu shot. An approximate 95%95%95%95%95% confidence interval is (0.409.0.551)(0.409.0.551)(0.409.0.551), and you note that 48%48-48% out of 200 have already received this year`s influenza vaccine. An approximate confidence interval of 95%95%95% is (0.409.0.551)(0.409.0.551)(0.409.0.551). b) How would the confidence interval have changed if the confidence level had been 90%90 %90% instead of 95 %95 %95%? The number of car accidents in Athens, Ohio refers to the regional number of cars registered in thousands of X1text{X}_{1}X1, the sale of alcoholic beverages in 10.00010.00010.000X_{2}, and precipitation in Zoll.andrainfallininchesX_{3}. In addition, the regression formula was calculated as follows: In addition, the regression formula was calculated as follows: In addition, the recession formula was calculated as follows:Y=a+b_{1}x_{1}+b_{2}x_{2}+b_{3}x_{3}$ A management consultant found that the amount of time managers spent per day on tasks that could be performed by subordinates as well as followed a normal distribution with a mean value of 2.4 hours. It was also found that 10% of managers spend more than 3.5 hours a day on tasks of this type. For a random sample of 400 executives, determine the probability that more than 80 spend more than 3 hours per day on tasks of this type. The compressive strength of concrete is influenced by several factors, including the composition (sand, cement, etc.), the type of mixer (batch or continuous) and the method of hardening. As a result, a concrete company is conducting an experiment to find out how the mixing technique affects the resulting compressive strength. Four possible mixing techniques were identified. Subsequently, samples of 20 samples were subjected to each mixing technique and the resulting compressive strengths (in pounds per square inch, psi) were measured. Some of the data are given in the attached table.

PutXDeltaA10 B20 C30 begin{matrix} text{Put} & text{X} & text{Delta} text{A} & text{10} & text{ } text{B} & text{20} & text{ } text{C} & text{30} & text{ } end{matrix} PutABCX102030Delta For a random sample size of n = 1,600 from a binomial probability distribution with P = 0.40, do the following: These three put options are all written on the same stock. One has a delta of −.9, the other has a delta of −.5 and the other has a delta of −.1. Assign deltas to the three puts by completing the following table. Find the probability that the percentage of achievements is greater than 0.45. How can the most profitable number of workers to be hired be determined by the stages of production? Briefly explain the importance of the following. Mistral.. Mix Tech. 1 Mix Tech. 2 Mix Tech.

3 Mix Tech. 429722794273229772818316229052986⋮⋮⋮⋮2665283730733081begin{array}{|c|c|c|c|} hline text { Mix Tech. 1 } & text { Mix Tech. 2 } & text { Mix Tech. 3 } & text { Mix Tech. } 4 hline 2972 & 2794 & 2732 & 2977 hline 2818 & 3162 & 2905 & 2986 hline vdots & vdots & vdots & vdots hline 2665 & 2837 & 3073 & 3081 hline end{array} Mix Tech. 1 29722818⋮2665 Mix Tech. 2 27943162⋮2837 Mix Tech. 3 27322905⋮3073 Mix Tech.

429772986⋮3081.

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