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A soft-drink manufacturer claims that its 12-ounce cans do not contain, on average, more than 30 calories. A random sample of 16 cans of this soft drink, which were checked for calories, contained a mean of 31.8 calories with a standard deviation of 3 calories. Assume that the number of calories in 12-ounce soda cans is normally distributed. State the null and alternative hypotheses to test the manufacturer claim.
It is suspected that the mean turnover has changed and is not 6.0. Use the .05 significance level. State the decision rule.
Let X be a random variable with probability density distribution given by. Find the probability density function of Y=10X - 4.
What does the coefficient of determination tell you about the variation attendance and the variation in the number of exhibitors?
A True-False test was developed for a Risk Management class. A student, who didn't study, decided to randomly guess the answer on each question.
How large a sample is needed in order to be 98% confident that the sample proportion will not differ from the true proportion by more than 6%?
Sample mean is 50, t-statistic is 1.96, and standard error of sample mean is 2. Determine the 95 percent confidence interval?
A random sample of n = 16 scores is selected from a normal distribution with a mean of μ = 50 and standard deviation of σ = 10. a) What is the probability that the sample mean will have a value between 45 and 55?
Airlines monitor the causes of flights arriving late. 75% of flights are late because of weather, 35% of flights are late because of ground operations. 10% of flights are late because of weather and ground operations.
A survey found that women's heights are normally distributed with mean 63.6 in and standard devistion 2.5 in. a branch of the military requires women's heights to be between 58 in and 80 in. What is the percentage of women who meet the height requ..
Find the probability distribution for X defined as the number of defective items drawn (Hint: You have to find P(X=0), P(X=1) and P(X=2). You may have to use both multiplicative and additive rules to find P (X=1)).
A population of 1000 students spends an average of $10.50 a day on dinner. The standard deviation of the expenditure is $3. A simple random sample of 64 students is taken.
At the .01 significance level can we (she) conclude that the true average daily amount of tips is greater than $80? yes or no.....
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