Question 1A restaurant manager is interested to study the distribution of customers having dinner at hisrestaurant on Sunday based on race. He collected a data for one day during the peak dinnertime. Table 1 shows the raw data collected.(a)(b)(c)(d)Table 1MalayChineseChineseMalayMalayChineseMalayIndiansMalayChineseMalayOthersMalayOthersOthersOthersChineseMalayChinese IndiansChineseMalayChineseIndiansChineseMalayMalayIndiansIndiansOthersChineseOthersMalayOthersIndiansIndiansChineseMalayChineseOthersConstruct a frequency, relative frequency and percentage table of the customersbased on race.Construct a pie chart of the customers based on race. You may use EXCEL to generatethe pie chart.Construct a bar chart of the customers based on race. You may use EXCEL to generatethe bar chart.Based on your answer in (a)-(c), write a brief comparison of customers having dinnerat his restaurant on Sunday based on race.

Step 1:Given data : Step 2:Plug the given data into Excel and then Make the data in one Single…

Answered: Question 1 A restaurant manager is…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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EXAMPLE 6: Researchers surveyed recent graduates of two different universities about their annual incomes. The following two-way table displays data for the 300 graduates who responded to the survey: Annual University University TOTAL Income (USD) A В Under 20, 000 36 24 60 20, 000 to 109 56 165 39, 999 40, 000 and 35 40 75 over ТОTAL 180 120 300
The following table is prepared to create a frequency histogram for an Italian restaurant in Wilmington, Delaware, based on the restaurant’s daily revenue data collected in the past 92 days. For example, the frequency of 18 means for 18 of the past 92 days, the daily revenue of this restaurant is between $0 and $2,000. Class (revenue) Frequency $0 to $2,000 18 $2,000 to $4,000 21 $4,000 to $6,000 26 $6,000 to $8,000 --- $8,000 to $10,000 11 $10,000 to $12,000 4 What is the width of each class for this distribution? (a) $10,000 (b) $8,000 (c) $5,000 (d) $2,000 What should be the frequency for the 4th class ($6,000 to $8,000)? (a) 100 (b) 92 (c) 12 (d) 10 What is the percentage of days, i.e., the relative frequency, that the restaurant generated between $2,000 and $4,000 in revenue? (a) 0.100 (b) 0.228 (c) 0.325 (d) 0.500
Suppose we have the following data available for the average number of hours spent in the Santa Fe College Math lab. Male Female 1.50 0.75 1.20 0.82 1.30 0.91 1.05 0.84 0.75 0.59 0.80 1.02 1.00 1.90 0.95 2.10 0.925 2.20 2.50 2.50 3.00 3.50 3.50 2.20 4.01 1.80 Use Data Displays to comment on the shape of the distribution, measures of center and spread, possible skew, and outliers for both genders. (Hint: Use as many displays as needed.)
I just need the 2 bottom ones (:
The probability that a trainee will remain with a company is 0.6. the probability that am employee earnsbmore than k10,000 per month is 0.5. the probability that an employee who is a trainee remained with the company or who earns more than k10,000 per month is 0.7. what is the probability that an employee earns more than k10,000 per month given that he is a trainee who stayed with the company
Full data set 3. The data to the right represent the number of chocolate chips per cookie in a random sample of a name brand and a store brand. Complete parts (a) to (c) below. Name Brand Store Brand 22 29 24 22 28 23 25 22 17 28 24 35 32 28 33 27 23 31 26 28 15 24 23 21 (a) Draw side-by-side boxplots for each brand of cookie. Label the boxplots "N" for the name brand and "S" for the store brand. Choose the correct answer below. O A. OB. OC. N- S- 30 40 40 (b) Does there appear to be a difference in the number of chips per cookie? O A. Yes. The store brand appears to have more chips per cookie. O B. Yes. The name brand appears to have more chips per cookie. O C. No. There appears to be no difference in the number of chips per cookie. O D. There is insufficient information to draw a conclusion. (c) Does one brand have a more consistent number of chips per cookie? O A. Yes. The store brand has a more consistent number of chips per cookie. B. No. Both brands have roughly the same number…
The following data provides the monthly streaming bill for a random sample of 20 households along with the number of televisions in the household (TV), the number of people living in the household (People). and the number of years that household has been a streaming customer (Years). Calculate the adjusted multiple coefficient of determination for predicting the streaming bill. Place the answer in decimal points.

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