Use the following information in TABLE 1 on five college professors to answer the following 5 questions. Name Specialty Sex Age Rank Able Economics M 40 Associate Professor Roth Management F 41 Full Professor Martin Marketing M 52 Associate Professor Brock Finance F 30 Assistant Professor Young Accounting F 35 Assistant Professor 1. Based on Table 1, how many elements are in this data set? 2. Based on Table 1, how many variables are in this data set? '

Use the following information in TABLE 1 on five college professors to answer the following 5 questions. Name Specialty Sex Age Rank Able Economics M 40 Associate Professor Roth Management F 41 Full Professor Martin Marketing M 52 Associate Professor Brock Finance F 30 Assistant Professor Young Accounting F 35 Assistant Professor 1. Based on Table 1, how many elements are in this data set? 2. Based on Table 1, how many variables are in this data set? '

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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1. Fill in the blanks for each of the statements below. а. A survey of 1000 U.S. adults found that 40% think the internet is the best way to get news and information. Population: Sample: Variable of Interest: Type of Data (Qualitative or Quantitative): Is the 40% a parameter or statistic, and why? b. A survey of the 55 law firms in a local city found that the average hourly billing rate is $425. Population: Sample: Variable of Interest: Type of Data (Qualitative or Quantitative): Is the $425 a parameter or statistic, and why?.
a. Describe the following variables with respective data types 1. Respondent's identification number : ID 2. Province the respondents live in (Alberta & British Columbia) 3. Respondent's gender (Male, Female) 4. Respondent's ethnicity (Caucasian, Black) 5. Respondent's age (AGE) 6. Respondent's religious affiliation  Protestant  Catholic  Jewish  None  Other
The following data includes the year, make, model, mileage (in thousands of miles) and asking price (in US dollars) for each of 13 used Honda Odyssey minivans. The data was collected from the Web site of the Seattle P-I on April 25, 2005. year make model mileage price 2004 Honda Odyssey EXL 20 26900 2004 Honda Odyssey EX 21 23000 2002 Honda Odyssey 33 17500 2002 Honda Odyssey 41 18999 2001 Honda Odyssey EX 43 17200 2001 Honda Odyssey EX 67 18995 2000 Honda Odyssey LX 46 13900 2000 Honda Odyssey EX 72 15250 2000 Honda Odyssey EX 82 13200 2000 Honda Odyssey 99 11000 1999 Honda Odyssey 71 13900 1998 Honda Odyssey 85 8350 1995 Honda Odyssey EX 100 5800 Compute the correlation between mileage and price for these minivans. (Assume the correlation conditions have been satisfied and round your answer to 3 decimal places.)rr =
Use the following information in TABLE 1 on five college professors to answer the following 5 questions. Name Specialty Sex Age Rank Able Economics M 40 Associate Professor Roth Management F 41 Full Professor Martin Marketing M 52 Associate Professor Brock Finance F 30 Assistant Professor Young Accounting F 35 Assistant Professor 1. Based on Table 1, which is quantitative variable? (This is a multiple choice question. Select the one correct answer.) Group of answer choices Specialty Age Sex Rank 2. Based on Table 1, what scale of measurement is used for Rank? Group of answer choices Nominal Ratio Ordinal Interval
The average time that Italy commute to work is 23.15 minutes (Best 4 Tourist Places, June 15, 2020). The average commute times in minutes for 18 cities are given in Table 3.1. Table 3.1 City Time (minutes) Rome 24.9 Milan 26.8 Naples 26.2 Turin 28.1 Palermo 31.7 Genoa 25.8 Bologna 23.3 Florence 32.1 Bari 28.5 Catania 24.4 Verona 29.3 Venice 24.8 Messina 38.1 Padua 28.3 Trieste 28.4 Taranto 24.6 Prato 20.1 Modena 23.4 1) What is the mode for these 18 cities? 2) Find 28th and 77th Percentile of commute times for these 18 cities.
The average time that Italy commute to work is 23.15 minutes (Best 4 Tourist Places, June 15, 2020). The average commute times in minutes for 18 cities are given in Table 3.1. Table 3.1 City Time (minutes) Rome 24.9 Milan 26.8 Naples 26.2 Turin 28.1 Palermo 31.7 Genoa 25.8 Bologna 23.3 Florence 32.1 Bari 28.5 Catania 24.4 Verona 29.3 Venice 24.8 Messina 38.1 Padua 28.3 Trieste 28.4 Taranto 24.6 Prato 20.1 Modena 23.4 a) What is the variance and standard deviation of commute times for these 18 cities? b) Find the z – score value of commute time for these 18 cities. c) Find 28th and 77th Percentile of commute times for these 18 cities.
Which of the following data sets shows categorical data? Course Grade 72 78 85 90 98 Class Size 22 23 25 28 32 Flight Number 1002 1274 4012 5661 7812 Number of Coins 1 3 4 8 19
Discuss the following with examples a) Continues and discrete variable b) Quantitative and Qualitative Variables c) Primary and Secondary data d) Class limits and class boundaries e) Simple bar and multiple bar diagram.
3. Consider a data set for which the "individuals" are restaurants in King County, Washington. a. Create a categorical variable that could be used to describe an individual restaurant in this data set. b. Create a quantitative variable that could be used to describe an individual restaurant in this data set and clearly state what units your variable would have.
The personnel files of all eight employees at the Pawnee location of Acme Carpet Cleaners Inc. revealed that during the last 6-month period they lost the following number of days due to illness: 5 5 4 4 1 2 All eight employees during the same period at the Chickpee location of Acme Carpets revealed they lost the following number of days due to illness: Range Mean 2 1 0 10 2 2 3 0 0 6 Click here for the Excel Data File Required: a. Calculate the range and mean for the Pawnee location and the Chickpee location. (Round the "Mean" to 2 decimal places.) Pawnee location O Chickpee location O Pawnee location Chickpee location b-1. Based on the data which location has fewer lost days?

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Name	Specialty	Sex	Age	Rank
Able	Economics	M	40	Associate Professor
Roth	Management	F	41	Full Professor
Martin	Marketing	M	52	Associate Professor
Brock	Finance	F	30	Assistant Professor
Young	Accounting	F	35	Assistant Professor