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Q1) Light-bulb producer advertises that average life for its light bulbs is 900 hours. Random sample of 15 of its light bulbs resulted in following lives in hours.
995
590
510
539
739
917
571
555
916
728
664
693
708
887
849
a) Determine x-bar and s for this data set.
b) At 10% significance level, do data give evidence that mean life for the company's light bulbs varies from advertised mean? You may suppose the values for bulb life are normally distributed. Use traditional method to make your decision.
The best estimator or appreciative of the population proportion is 0.45. How large must the sample be?
What is the probability that the sample mean will be greater than M = 510. In symbols, what is p (M>510)?
This model is fit to the data using the method of least squares using statistical software, and the following ANOVA table is obtained
Find a 95% confidence interval for the mean dielectric strength of the oil.
Develop three regression models to predict the selling price based upon each of the other factors individually. Which of these is best?
What decision should be made regarding the null hypothesis?
Either no change to the Objective function or a raise in the value of the objective function depends on the constraint.
No, there is not enough information to refuse hypothesis that proportion of male students who live on campus and proportion of female students who live on campus are same as the test value -1.65 is inside acceptance region (-1.96,1.96).
Find a 98% confidence interval for the mean number of days required for successful completion of physical therapy for patients in the average group. Discuss the results.
Statistical Hypothesis test for the given sample
Construct the following confidence intervals for your data set:
Create a 95% confidence interval for population proportion of positive drug tests.
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