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An office complex is lit by lightbulbs made by 2 companies, with 60% of the bulbs in use made by company A and 40% by company B. The lifetime (in years) for the 2 companies' bulbs are continuous uniform random variables Ta and Tb, respectively. However, the companies produce bulbs of different reliability, with 4<= Ta <= 9 and 2<=Tb <= 12
a) What is the probability that a lightbulb made by company A fails before 5 years of use, P(Ta< 5)?
b) If a lightbulb in an office fails exactly after 5 years of use, what is the probability that it was made by company A, P(A|T =5)?
Provide an example of two of the laws of exponents. Explain how to simplify them. Tell how do the laws work with rational exponents and then provide a third example to simplify that includes a rational (fractional) exponent.
Patient's heart attack as mild, moderate or severe. The nurse's classification of the severity of the patient's heart attack is an example of what type of variable?
Men the same age have mean height 69 inches with standard deviation 2.7 inches. What is the z-score for a woman who is 6 feet tall?
Suppose that distribution is normally distributed. If worker at this fast food restaurant is chosen at random,determine the probability that worker earns more than $6.75?
What was the purpose of calculating a Cohen's d? When is a Cohen's d calculated? Interpret d=.90. What does it mean in this example?
11.9% reported they were in fair or poor health, including 10.5% of the married people, 19.6% of widows, 16.7% of divorced or separated, 12.5% of those never married, and 14% of those living with an unmarried partner.
problem 1provide me a 1.5 pages of discussion and answer each question in detail. also label each question with each
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To compare the effectiveness of three types of pain relievers, a homogeneous group of 22 students were divided randomly into three groups, and each group took one of three pain relievers for a period of 2 weeks.
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Significant amount of improvement took place? Assume pulse rates are normally distributed. Test using = 0.05. Determine which test statistic applies, and calculate it.
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