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1. A common question many have is why study statistics in the first place.
2. Say we have a sample of 100 with mean 5 and std of 0.5 and you do not know the Population Sigma. How do you go about calculating different probabilities--say an item was selected at random and we wanted to know how far it is from the mean or the probability that it is at least 4.5 or more?
I have fit a line to data representing cholesterol readings for 28 individuals starting a cholesterol reducing drug. The computer provides the following output, The degrees of freedom for the t test for the slope are
Assume the least squares equation is Y' = 10 + 20X. What does the value of 10 in the equation indicate?
An automobile manufacturer claims the variance in the fuel consumption for its vehicles is less than the variance of similar type vehicles from another competitor.
How would the General Counsel's decision in Part (b) change if the cost of selling the second suit were only $200,000? What if the cost were $900000?
A final exam in Statistics has a mean of 73 with a standard deviation of 7.73. Assume that a random sample of 24 students is selected and the mean test score of the sample is computed. What percentage of sample means are less than 70?
The amount of corn chips dispensed into a 10 ounce bag by the dispensing machine has been identified at possessing a normal distribution with a mean of 10.5 ounces and a standard deviation of .2 ounces.
Does the data prove a significant difference in mean times?
Describe what you find then produce an ANOVA for the problem.
Carbon monoxide (CO) emissions for a certain kind of car vary mean 2.4 g/mi and standard deviation 0.7g/mi. A company has 60 of these cars in its fleet. Let y represent the mean CO level for the companies fleet. Estimate the probability that y is ..
Construct a 99% confidence interval for the mean bill of a customer. A) [31.355, 32.645] B) [29.747, 34.253] C) [29.421, 34.579] D) [29,740, 34.260] E) [28.570, 35.570].
Compute SS, variance, and standard deviation for following population of N = 7.Scores: 8, 1, 4, 3, 5, 3, and 4. The definitional formula works well with these scores. Use the definitional formula to compute SS.
Which 56 have this coverage. Does this support the claim that the proportion is less than 15%? Test the claim at the 5% level by the following steps.
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