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A manufacturer claims that the mean lifetime of its light bulbs is 55 months. The standard deviation of these lifetimes is 6 months. Twenty-two bulbs are selected at random, and their mean lifetime is found to be 56 months. Assume that the population is normally distributed. Can we conclude, at the 0.05 level of significance, that the mean lifetime of light bulbs made by this manufacturer differs from 55 months?
Perform a two-tailed test. Then fill in the table below.
Carry your intermediate computations to at least three decimal places, and round your responses as specified in the table. (If necessary, consult a list of formulas.)Please answer:Ho=H1=Type of test?The values of the test statistic?The two critical values at the 0.05 level of significance?Can we conclude that the mean lifetime of light bulbs made here differs from 55 months?
Each egg was also measured for volume using a water displacement method. We wanted to know if the two methods agreed or not
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Use value you found in part a to find out degree of confidence for interval 65.65
The calculated chi-square test statistic and the table value for a 0.05 significance level are:
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Estimate a range of values centered about the mean in which about 95% of the state per captia income taxes will fall.
(a) Consider a normal distribution with mean μ = 88. If 2% of the values lie below x = 50, find the standard deviation σ. (b) Consider a normal distribution with standard deviation σ = 15.6. If 10% of the values lie above x = 17.2, find the mean μ.
Which of the following events are disjoint and What proportion of the females rated their intelligence less than 7.
Test a hypothesis to see if this proportion has changed since 1985. I have the standard error and a t-score of 1.660. I need the test effect, test statistic and p-values.
Many people attend work and produce little or nothing of value that is why they are terminated.
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