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The mean life of a particular brand of light bulb is NOT normally distributed. It has been determined that the mean life is 1000 hours and the standard deviation is 50 hours. It can be concluded that at least 89% of the bulbs will last between:
850 and 1150 hours900 and 1100 hours800 and 1200 hours950 and 1050 hours
They want you to determine what the data indicate about this.In this problem I am having an issue trying to determine what equation to use to solve. Is this a one or two way ANOVA or should I just use a z-test to solve?
In both cases, give a number of data points, n, and a correlation coefficient, r. Draw a number of data points, n, and a correlation coefficient, r. Tell whether the correlation is significant at 0.05 or 0.01 level, explain.
If 200 of the adults surveyed were in the age category of 24 and under and they provided a standard deviation of $14.50, construct a 95% confidence interval for the weekly average expenditure on fast food for adults 24 years of age and under.
Draw a normal probability plot for residuals using excel or Minitab. Do the residuals seem normally distributed? If yes, why?
Is there any evidence that the different teatments produced different responses? If so, which one seems to work best?
Find out equation of the line of best fit. Find out r - Is there a strong relationship?
Calculate the mean, mode and median of the grouped data derived from the frequency distribution above. Compare the results obtained from
What is the probability of flipping a coin 6 times and getting 4 or more heads?
A counseling psychologist is interested in determining whether the perception of a counselor's expertise is affected by the approach the counselor utilizes.
If the data were collected for a sample of 50 households rather than 100, develop an 85% confidence interval estimate of the population mean annual amount spent, assuming the population has a normal probability distribution.
A research report summarizes the results of the hypothesis test by stating,"z = 2.13, p
At the .05 level of significance, is there evidence of a difference in variability in the shipping time between the two outlets? What decision should the carpet manufacturer make?
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