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suppose that past history shows that 60% of college students prefer brand C cola. A sample of 110 students is to be selected. we are intersted in the number of students who prefer brand C cola. identify the distribution of the random variable and the mean,standard deviation.
Consider the results of the hypothesis test you conducted above. Which of the two types of errors could you have committed? Explain the ramification of committing such an error in the context of this scenario.
For each of the given population would the score of X=50 be considered central score (near middle of distribution) or extreme score (far out in the tail of the distribution )?
Powers Tire Company (Which specializes in tires for vehicles ca. 1965) needs your expertise to help them schedule over the next three months. They can make tires using regular labor, or subcontracting.
She collected the employee performance ratings recorded before and after workshop attendance and stored the paired ratings for all 35 in Perform.
The director for training at a company that manufactures electronic equipment is interested in determining whether different training methods have an effect on the productivity of assembly line employees.
Survey on marital status to determine whether the data is qualitative or quantitative
At the 0.05 level of significance, is there evidence to suggest that the population mean waiting time to check out is less than 10.73 minutes?
Let X 1 , X 2 , X 3 , X 4 be a random sample from a Poisson distribution with parameter λ and let Y = X 1 + X 2 + X 3 + X 4 . You decide to test λ = 1.60 versus λ
Any state auto insurance company took a random sample of 370 insurance claims paid out during a 1-year period. the average claim was $750 with a standard deviation of $150. find .99 confidence interval for the mean claim payment.
Explain the value of test statistic using t distribution for the given value. Illustrate value of the t test statistic if you are testing a hypothesis.
Assume the probability that a telephone in any given telephone booth is defective is 0.2. Determine the probability that if 8 phone booths are examined, the number of defective phones is exactly 3.
What size sample would be required to estimate the proportion of hospital referrals with a margin of error of 0.04 or less at 95% confidence?
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