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Question: The owner of a restaurant serving Continental-style entrees has the business objective of learning more about the patterns of patron demand during the Friday - to - Sunday weekend time period. Data were collected from 630 customers on the type of entrée ordered and organized in the following table:
Type of Entree Number Served
Beef 187
Chicken 103
Mixed 30
Duck 25
Fish 122
Pasta 63
Shellfish 74
Veal 26
Total 630
a. Construct a percentage summary table for the types of entrees ordered.
b. Construct a bar chart, a pie chart, and a Pareto chart for the types of entrees ordered
c. Do you prefer using a Pareto chart or a pie chart for these data? Why?
d. What conclusions can the restaurant owner reach concerning demand for different types of entrees?
Briefly describe correlational research. Name a variable from the workplace that might prove to provide a correlational relationship and explain why you would choose these two?
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.
if the probability is 0.1 that a person will make a mistake on his or her state income tax return find the probability
a nursing school wants to estimate the true mean annual income of its alumni. it randomly samples 120 of its alumni.
Determine a 95% confidence interval for the population mean.
Recognize the given samples are independent samples or matched pairs.
For a random sample of 35 items, a known population standard deviation of 23, and a sample mean of 211 estimate the: the population mean with a confidence level of 95%.
At Kelsey High School, Mrs. O'brien noted that the students were waiting too long in line for their lunches. After collecting some data, Ms. O'brien determined the mean wait time was 10 minutes.
Using Coefficient of Variation determine in which year do the ages show a more dispersed distribution? Show your complete work and support your answer.
the lengths of pregnancies of humans are normally distributed with a mean of 268 days and a standard deviation of 15
An analyst working at BC Statistics is compiling a report on the use of the internet at home. In 1997, 250 randomly selected people were asked about the average amount of time spent on the internet per week.
A furniture store claims that a specially ordered product will take, on average, M = 35 days (5 weeks) to arrive. The standard deviation of these waiting times is 8 days.
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