Question

A restaurant manager classifies customers as well dressed, moderately dressed, or poorly dressed, and finds 35%,...

A restaurant manager classifies customers as well dressed, moderately dressed, or poorly dressed, and finds 35%, 35%, and 30% respectively of all customers fall into these categories. The manager found that wine was ordered by 60% of the well dressed, by 40% of the moderately dressed, and by 20% of the poorly dressed customers.
If wine is ordered, what is the probability that the person ordering was well dressed? The probability is
A) Less than 10%
B) Between 10% and 20%
C) Between 20% and 30%
D) Between 30% and 40%
E) Between 40% and 50%
F) Between 50% and 60%
G) Between 60% and 70%
H) Between 70% and 80%
I) Between 80% and 90%
J) Bigger than 90%.

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A store manager gathers some demographic information from the store's customers. The following chart summarizes the...
A store manager gathers some demographic information from the store's customers. The following chart summarizes the age-related information they collected: Age Number of Customers < 20 73 20-29 75 30-39 77 40-49 76 50-59 94 ≥ 60 60 One customer is chosen at random for a prize giveaway. (Round answers to 4 decimal places.) a. What is the probability that the customer is at least 20 but no older than 49? b. What is the probability that the customer is...
The data collection is conducted by randomly selecting 51 persons whose ages are between 25-30 and...
The data collection is conducted by randomly selecting 51 persons whose ages are between 25-30 and interviewing the average time they spend on Instagram in a day. What is the probability that people ages between 25-30 spend time using Instagram for more than one hour in a day? I need a PMF equation The collected data: Number of Person Time Number of Person Time Number of Person Time Number of Person Time 1 120 14 90 26 120 39 70...
1. Find the Nash Equilibria of the following games. (Some may have more than one!) Player...
1. Find the Nash Equilibria of the following games. (Some may have more than one!) Player 2 D E F Player 1 A 30 , 30 20 , 0 0 , 10 B - 60 , 60 50 , 50 10 , 10 C 10 , 80 25 , 30 60 , 90 Player 2 E F G H Player 1 A 20 , 20 -5 , -5 15 , 90 15 , 15 B 5 , 70 30 ,...
The manager of a brokerage firm with 500 customers asked them to rate their brokers. The...
The manager of a brokerage firm with 500 customers asked them to rate their brokers. The results have been tabulated below. The columns describe the customers’ incomes and the rows describe their rating of the brokers. Under $20,000 $20,000 to 50,000 Over $50,000 Excellent 50 60 40 Average 100 120 50 Poor 30 35 15 .If we consider a customer is satisfied if he/she gave a rating of excellent or average, otherwise unsatisfied. Use a 5% significant level to test...
In what follows use any of the following tests/procedures: Regression, confidence intervals, one-sided t-test, or two-sided...
In what follows use any of the following tests/procedures: Regression, confidence intervals, one-sided t-test, or two-sided t-test. All the procedures should be done with 5% P-value or 95% confidence interval. The empirical literature suggests that class absenteeism undermines students’ academic performance and that an enforced mandatory attendance policy may be beneficial. Open Attendance data. Using data on 90 second-year students enrolled in a Statistics course, test if students who are assiduous in attending lectures have higher final grades than students...
A very busy and fancy restaurant records the wait time for each customer that comes in....
A very busy and fancy restaurant records the wait time for each customer that comes in. Below are 12 customers’ wait times (in minutes): 51        60        59        72        80        83        54        66        61        81        66        62 1.The manager wants to know the percentage of wait times that are greater than 55 minutes. According to the sample data, what would be a point estimate of the true percentage of wait times that are greater than 55 minutes? 2.Use this point estimate...
The following data represents the exam scores of students in Econ 220 VV22, which is one...
The following data represents the exam scores of students in Econ 220 VV22, which is one of several sections of Econ 220 in a college. You can take this as a sample.                                                                 Student Score 1 82 2 70 3 50 4 60 5 75 6 65 7 55 8 80 9 85 10 90 11 95 12 94 13 35 14 40 15 65 16 95 17 91 18 55 19 65 20 76 21 86 22 96...
1) Let's say that we use 16 mice in a study that seeks a relationship between...
1) Let's say that we use 16 mice in a study that seeks a relationship between the concentration (x) of a toxic substance and the mortality time of mice (y), and the findings given in the table below are obtained. Is there a relationship between concentration and death time? What is the direction and strength of the relationship? Find it with correlation analysis. Concentration (microgram) Death time (minutes) 20 20 25 18 30 18 35 16 40 17 45 16...
The restaurant owner wants to find out what the peak demand periods are, during the hours...
The restaurant owner wants to find out what the peak demand periods are, during the hours of operation, in order to be better prepared to serve his customers. He thinks that, on average, 60% of the daily customers come between 6:00pm and 8:59pm (equally distributed in that time) and the remaining 40% of customers come at other times during the operating hours (again equally distributed). He wants to verify if that is true or not, so he asked his staff...
PLEASE URGENT The restaurant owner Lobster Jack wants to find out what the peak demand periods...
PLEASE URGENT The restaurant owner Lobster Jack wants to find out what the peak demand periods are, during the hours of operation, in order to be better prepared to serve his customers. He thinks that, on average, 60% of the daily customers come between 6:00pm and 8:59pm (equally distributed in that time) and the remaining 40% of customers come at other times during the operating hours (again equally distributed). He wants to verify if that is true or not, so...