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A cutting tool wears out with a time to failure that is normally distributed with a mean of 10 working days and a standard deviation of 2.5 days.
a) Determine its design life for a reliability of 0.99
b) Find the reliability if the tool is replaced every,(i) day (ii) two days (iii) five days
c), Determine the probability that the cutting tool will last one more day given it has been in use for 5 days.
How many books should be tested to estimate with 95% to within 0.1 lb, the average force required to break the binding? Assume that sd is known to be 0.8 lb.
Is this enough evidence to support Union's position? Use significance level of a = 0.05. You may suppose the mean annual salaries are normally distributed.
1.a college basketball player makes 80 of his free throws. at the beginning of a game he misses his first two free
a survey of adults ages 18-29 found that 82 use the internet. you randomly select 196 adults ages 18-29 and ask them if
Is the proportion of men who felt that division of housework was fair greater than the proportion of women who felt the division of housework was fair? Use alpha = .05 for the test.
Do we have to worry about confounding variables in this instance? Why? If so identify a possible confounding variable? Are either of the terms retrospective study or prospective study relevant? Explain.
Can you please help me develop a research question using gender and another categorical variable associated to adhd that could be address using the chi-square method?
If the value of y is 11 thousands, find the probability that these tires will last at most 15,227 miles. You MUST write your answers with 3 decimal places.
Find the probability that in a given winter month fewer than 35 cars will be rented. (use the normal distribution to approximate the binomal distribution).
1. let x be normally distributed random variable with mu 100 and sigma 10. find the probability that x is between 75
write a 1050- to 1400-word paper in which you complete the following1 explain the organizational and societal functions
What is his dependent variable and independent variable and estimate a simple linear regression model and present the estimated linear equation. Interpret the coefficient estimates of the linear relationship.
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