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The mean life of a battery used in a digital clock is 305 days. The lives of the battery follow normal distribution. The battery was recently modified to last longer. A sample of 20 of the modified batteries had a mean life of 311 days with a standard deviation of 12 days. The level of significance is .05. What would be your critical value or decision point?
A)1.725B)2.093C)1.729d)2.086
Did the modifications increase the life of the battery?
The useful life of an electrical component is exponentially distributed with a mean of 2500 hours. a. What is the probability the circuit will last more than 3,000 hours.
Use a 95% confidence interval for multiple comparisons. Show your calculation by hand between Monday and Tuesday. Match your answer with Minitab output. Attach Minitab output.
Explain these results to a person who understands the t test for a single sample but knows nothing about the t test for independent means.
Fast Service Store has maintained daily sales records on the various size 'Cool Drink' sales. These are shown in the following table:
What is the probability that the person thinks that "Made in America" ads boost sales and uses social media online?
Critically illustrate out the characteristics of a standard normal distribution? Can two distributions with the same mean and different standard distributions be considered normal?
Create a mixed integer programming model for this problem.
An issue that faces individuals investing for retirement is allocating assets among different investment choices. A study conducted 10 years ago showed that 65% of investors preferred stocks to real estate as an investment.
Two types of flares are tested for their burning times (in minutes) and sample results are given below.
Using standard normal table, show critical value for left-tailed test with α = 0.02.
Random sample of 100 people yielded following data on number of tissues utilized in a cold: x-bar = 38, s = 20. By using sample information provided, compute the value of test statistic for the relevant hypothesis test.
The average height of flowering cherry trees in a nursery is 11 feet. If the heights are normally distributed with a standard deviation of 1.6, find the probability that a randomly selected cherry tree in this nursery is less than 13 feet tall.
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