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A study is conducted to determine if the traffic light patterns at a busy intersection need to be adjusted to help the flow of traffic. Data on the volume of traffic and the traffic patterns during different times of day are recorded.
I. What is the population?
II. What is the sample?
III. Is the study observational or experimental? Justify your answer.
IV. What are the variables?
V. For each of those variables, what level of measurement (nominal, ordinal, interval, or ratio) was used to obtain data from these variables?
Using the 0.95 degree of confidence, what is the interval estimate for the population proportion (to the nearest tenth of a percent)?
Can you conclude that the information in the article is untrue? Use the 0.05 significance level. Determine the p-value and explain its meaning.
What statistical procedure was used to analyze data in study B?
Problem based on decision tree - Evaluate the strategy that maximizes the manufacturer's expected net earnings.
Analysis of variance- One way classification - Are there differences among these 3 drugs with respect to how long they are retained in the body?
Salary information for a random sample of male and female employees of a large company is shown below.
For a sample of 138 independent observations from a normal distribution of unknown μ and variance σ 2 = 2.6, the sample mean is 52.3. What is the width of the 95% confidence interval for μ?
Determine mean of distribution shown. Give the mean of following probability distribution?
Last year the average deposit for all 10,000 clients was $25,000 with a standard deviation of $30,000. Do you think a small sample of 25 is enough to give them the margin of error they want? If not, how large a sample do you suggest they need to t..
What is the margin of error for a 95% confidence interval for the difference of the two means (low capacity - high capacity)? (Answer to the nearest hundredth.)
Suppose there are two samples of size 6 and 7, with a rank sum of 58 in the sample of size 6. Using the Wilcoxon rank-sum test, evaluate the significance of the results, assuming there are no ties.
A monthly budget of $100,000 is available for both advertising and purchase of the fragrances. Develop and solve a linear optimization model to determine how much of each type of perfume should be produced to maximize the net profit.
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