Question
Question 1 The amount of a soft drink that goes into a typical 12-ounce bottle varies from bottle to bottle. It is normally distributed with
Question 1
The amount of a soft drink that goes into a typical 12-ounce bottle varies from bottle to bottle. It is normally distributed with mean12.03 ounces and 0.05 ounce.
- If regulations require that bottles have at least 12 ounces of soda. What is the fraction of bottles that will contain at least 12 ounces of soda?
- What is the fraction of bottles that will contain between 12 and 12.08 ounces of soda?
- One percent of all bottles will contain more than what value?
- Ten percent of all bottles will contain less than what value?
- Every day, the company produces 10,000 bottles. The government inspect 10 randomly chosen bottles each day. If at least two are underfilled, the company is fined $10,000. What is the probability that the company will be fined on a given day?
Question 2
The amount of a soft drink that goes into a typical 12- ounce bottle varies from bottle to bottle. It is normally distributed with an adjustable mean and a fixed standard deviation of 0.05 ounce. (The adjustment is made to the filing machine).
- If regulations require that bottles have at least 11.9 ounces, what is the smallest mean that can be used so that at least 99.5% of all bottles meet the regulation?
- If the mean setting from part (a) is used, what is the probability that a typical bottle has at least 12 ounces?
Question 3
Problem to test for normality using Q-Q plot in R.
The fileCDRate.xlsxcontains the yields for a one-year certificate of deposit (CD) and a five-year CD for a sample of banks in the United States. For each type of investment (one-year or five-year CD), decide whether the data appear to be approximately normally distributed by constructing a Q-Q plot using R.
- Provide the line of code to construct the Q-Q plot using R.
- Paste the Q-Q plot for each type of investment.
- Comment whether the data appear to be approximately normally distributed.
Question 4
Customers arrive at the drive-up window of a fast-food restaurant at a rate of 2 per minute during the lunch hour. (Exponential probability distribution.)
- What is the probability that the next customer will arrive within 1 minute?
- What is the probability that the next customer will arrive within 5 minutes?
- During the dinner time period, the arrival rate is 1 per minute. What are your answers to (a) and (b) for this period?
Step by Step Solution
There are 3 Steps involved in it
Step: 1
Get Instant Access to Expert-Tailored Solutions
See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
Ace Your Homework with AI
Get the answers you need in no time with our AI-driven, step-by-step assistance
Get Started