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A machine produces parts with lengths that are normally distributed with ? = 0.59. A sample of 19 parts has a mean length of 76.26.
a) Find the 90% confidence maximum error of estimate for ?. (To 3 decimal places.)
b) Find the 90% confidence interval for ?. (To three decimal places.)
Lower Limit
Upper Limit
Results from survey of 1000 respondents, point out that 545 favour the dealth penalty for capital crimes. By using a90% confidence level. Create confidence interval estimate for population proportion.
Describe the mean difference that is the main effect for the treatment. Describe the mean difference that is the main effect for gender. Is there an interaction between gender and treatment? Explain the answer
I'm having difficulty understanding and showing in layman terms or simple terms an example and comparison between the ANOVA test, Kruskal-Wallis test, and T-Test Statisitc.
If x is a binomial random variable where n=100 and p=.1, find the probability that x is less than or equal to 11 using the normal approximation to the binomial.
Can you determine the number of levels used for each factor? Explain. Describe a treatment for this experiment and determine the number of treatments used.
There are 20 qualified applicants for 5 trainee positions in a fast-food management program. How many different groups of trainees can be selected?
Interpret values of b1, b2, b3 and b4 in this estimated regression equation.
A scientist examined the effect of temperature and catalyst on the yield of a reaction. He ran the experiment at both 150° and 200°C with two types of catalyst.
By using significance level a = .05, and suppose a normal distribution what does evidence conclude?
The average price of a car wash is $5.00. A sample of six car washes averaged $5.70 and had a sample standard deviation of $1.30. Assuming a normal population, use the critical value method to test the claim at a= 0.05.
What is the probability that at most five cases of E. coli per 100,000 are reported in California this year?
He argues that the regression effect says people who perform very poorly in their previous job tend to perform well in their next job. Is this what the regression effect says? Explain.
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