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In a manufacturing process a random sample of 36 bolts manufactured has a mean length of 1.71 inches with a standard deviation of .08 inches. What is the 90% confidence interval for the true mean le
You work for an auto company. Each car produced is expected to have no more than4 defects (fit and finish tolerances outside of parameters).
The lottery game has participants choose 5 different numbers from 1 - 44. The winner is someone who has chosen the correct sequence. Find the probability of winning this lottery.
Construct the indicated confidence interval for the population mean µ using (A) a t-distribution. (B) if you had incorrectly used a normal distribution, which interval would be wider?
The degenerative disease osteoarthritis most frequently affects weight-bearing joints such as the knee. The following is a summary of data on stance duration (ms) for samples of both older and young
What is the null hypothesis? What is the research hypothesis? What are the degrees of freedom? What is the critical value? Do you reject or fail to reject the null hypothesis? What does this mean?
Assume that the ANOVA assumptions are verified. State the rejection rule to test whether the population mean differs using ?
A spice rack contains three jars of herbs and four jars of spices. If the jars are placed randomly on the rack, what is the probability that two herb jars are together?
The Journal of Research in Crime and Delinquency has published a study on the situational characteristics of crimes. In a random sample of 96 robberies, 36 were committed by people who acted alone.
A survey is taken in which 40 randomly selected respondents aged 25-40 are asked how many biological children they have. Consider the random variable X = number of children with the following possib
How many different ways can ten couples (MF) be seated in a row of twenty seats, such that the couples can be kept together?
In a random sample of four microwave ovens, the mean repair cost was $70.00 and the standard deviation was $11.00. Assume the variable is normally distributed use a t distribution to construct a 99%
Formulate a linear programming model that will allow the University of Iowa to conduct this experiment using a minimum cost blend of the two soil amendment mixtures. State clearly the Objective Func
A random sample of size n is to be used to test the null hypothesis that the parameter theta of an exponential population equals thetasub0 against the alternative that it does not equal thetasub0
You decide to test the hypothesis by observing 20 cars with both a man and a woman in the front, and counting how many of those have a man driving.
What is the approximate percentage of girls between 124.4 cm and 125.6 cm? What is the approximate percentage of girls between 124.1 cm and 125.9 cm?
Suppose that the time to failure of a particular part in a system has an exponential distribution with expected time to failure of 5 minutes. Also suppose there is a machine which replaced a failed
a. What is the estimated regression equation? b. Determine if price is significantly related to sales. Use a = 0.10. c. Determine if advertising is significantly related to sales. Use a = 0.10.
You measure the lifetime of a random sample of 64 tires of a certain brand. The sample mean is x = 50 months. Suppose that the lifetimes for tires of this brand follow a normal distribution, with un
The mean symptom score is 74 with a standard deviation of 5.6, and in the placebo group, the mean symptom score is 85 with a standard deviation of 6.0. Is there a difference in mean symptom scores b
Suppose the sample slope measuring the relationship between amount of sleep (x, in hours) and number of yawns by students in 8AM classes (y) for 100 UGA students is computed to be -0.82. From this you
Suppose we rolled a pair of fair dice and count the number of dots located and the face that lands up. Describe this probability distribution. What is the probability of rolling less than a 6.
In exercise 7 a sales manager collected the following data on x=annual sales and y=years of experience. The estimated regression equation for these data is y= 80 + 4x.
The correlation between incidence of pancreatic cancer and alcohol consumption is 0.78 while the correlation between incidence of pancreatic cancer and amount of exerciseis-0.89. From this we can c