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A tube of Listerine Tartar Control tooth paste contains 4.2 ounces. As people use the tooth paste, the amount remaining in any tube is random. Assume the amount of toothpaste left in the tube follows a uniform distribution. From this information, we can determine the following information about the amount remaining in the toothpaste tube without invading anyone's privacy.
a. How much toothpaste would you expect to be remaining in the tube?
b. What is the standard deviation of the amount remaining in the tube?
c. What is the likelihood there is less than 3.0 ounce remaining the tube?
d. What is the probability there is more than 1.5 ounces remaining in the tube?
A group of students collected data at the Cedar Point amusement park and reported that the "wait time" to ride the "Top Thrill Dragster" roller coaster is consistently distributed within a range of 40 minutes to 90 minutes.
each person received was determined by randomization. For each person who was sent one of the surveys, the researcher recorded whether or not a completed survey was returned.
Obtain the simple linear regression equation, then analyze the residuals by (a) constructing a histogram
Describe what do you mean by conditional probability. Give clinical example to support the explanation.
Compute the grouped data mean for this distribution. Use MINITAB and using the original scores, compute the raw-data mean. Use MINITAB.
Calculate the probability of a value between 75.0 and 90.Calculate the probability of a value of 75.0 and less.
An urn contains 8 green balls, 5 red balls, and 7 white balls. How many ways are there to draw a green ball or a red ball?
If random sample of size n = 16 are selected, can we say anything about the xbar distribution of sample means?
If there are 5 choices for a question and there is a 50% chance that the student knows the answer, what is the probability that the student knew the answer to a question he correctly answered?
Can you think of an example where regression analysis can be used? How is regression analysis being used in a retail environment, or how should it be used?
If wages were increased by $1.00, what is the expected effect on the number of complaints received per employee? How can you tell?
Multiple choice question using Forecasting techniques. Which among of the following models are best suited to forecast a time series with a stable seasonality component.
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