Concept explainers
A researcher studies the factors that determine the number of jobs adults have in a lifetime. The variable, number of jobs, is an example of a(n) ______ variable.
- a. discrete
- b. continuous
- c. nominal
- d. ordinal
Answer to Problem 2LC
The correct option is a. discrete.
Explanation of Solution
Reason for correct answer:
Here the variable represents the number of jobs and it will take values which will be whole numbers like 0, 1, 2 and so on. Thus, the values are countable and the number of jobs is discrete variable.
Reason for incorrect answer:
Option b.: Here the variable number of jobs takes non negative integral values and there cannot be any integral value between two consecutive numbers. So, variable cannot be continuous.
Option c.: Since, different numbers of jobs are comparable, so scale of measurement cannot be nominal.
Option d.: Since, different numbers of jobs are comparable in magnitude, so scale of measurement cannot be ordinal.
Nominal level: It consists of only categories in which the data cannot be arranged in specific order. This level of measurement used for giving names, classifying, or categorizing of items without following natural ordering.
Ordinal level: It consists of only categories in which the data can be arranged in specific order. This level of measurement used for giving names, classifying, or categorizing of items which follows natural ordering.
Discrete data:
When the values in data set are countable, that is if space exists between any two values of data set, it is termed as discrete data. In discrete data the number of values considered would be finite and are quantitative values.
Continuous data:
When the values in data set are not countable, that is if the data takes values on interval scale, it is termed as continuous data. In continuous data the infinitely many number of values can be considered.
Want to see more full solutions like this?
Chapter 1 Solutions
LMS Integrated MindTap Psychology, 1 term (6 months) Printed Access Card for Gravetter/Wallnau/Forzano's Essentials of Statistics for the Behavioral Sciences, 9th
- In Example 5, after how many days are 250 students infected?arrow_forwardBroadway The ordered pairs below give the starting year and gross ticket sales S (in millions of dollars) for each Broadway season in New York City from 1997 through 2014. 1997,558 2003,771 2009,1020 1998,588 2004,769 2010,1081 1999,603 2005,862 2011,1139 2000,666 2006,939 2012,1139 2001,643 2007,938 2013,1269 2002,721 2008,943 2014,1365 (a) Use a graphing utility to create a scatter plot of the data. Let t=7 represent 1997. (b) Use the regression feature of the graphing utility to find the equation of the least squares regression line that fits the data. (c) Use the graphing utility to graph the scatter plot you created in part (a) and the model you found in part (b) in the same viewing window. How closely does the model represent the data? (d) Use the model to predict the gross ticket sales during the season starting in 2021. (e) Interpret the meaning of the slope of the linear model in the context of the problem.arrow_forwardDefine each concept,and give an example of each. (a) Increasing function (b) Decreasing function (c) Constant functionarrow_forward
- Which of the following is an example of a continuous variable? a.The education level of patrons at the Norman Public Library b.The number of automobile accidents a student has during their time in college c.The length of time it takes to drive from Norman to Dallas d.The number of touchdowns made during the Super Bowlarrow_forwardA dataset of a class contains a variable that shows the school year of a student: freshman, sophomore, junior, or senior. You want to code the variable 1-4 by number of students in the group (from more to less). The dataset is currently ordered by student names alphabetically, show the steps of making the new variable.arrow_forwardAn independent variable is one that: Select one: A. researchers remove their values from. B. can never be a dependent variable in any investigation. C. explains change in the dependent variable. D. the researcher wishes to explain.arrow_forward
- Knowledge.Boosterarrow_forwardA realtor studies the relationship between the size of a house (in square feet) and the property taxes (in $) owed by the owner. The table below shows a portion of the data for 20 homes in a suburb 60 miles outside of New York City. [You may find it useful to reference the t table.] Property Taxes Size 21,872 2,464 17,498 2,451 ⋮ ⋮ 29,294 2,895 Click here for the Excel Data File a-1. Calculate the sample correlation coefficient rxy. (Round intermediate calculations to at least 4 decimal places and final answers to 4 decimal places.) a-2. Interpret rxy. multiple choice 1 The correlation coefficient indicates a positive linear relationship. The correlation coefficient indicates a negative linear relationship. The correlation coefficient indicates no linear relationship. b. Specify the competing hypotheses in order to determine whether the population correlation coefficient between the size of a…arrow_forwardIt 3. Mowarrow_forward
- Data in the table comes from the NASA Global Climate Change website. It gives the average globaltemperature, in Celsius, for the given year. Use both rows for your calculations. For this problem, youwill see how well year correlates with the average temperature. Let ? be the number of years since1984 and ? be the average global temperature in degrees Celsius.Year 1984 1986 1988 1990 1992 1994 1996 1998 2000Temp 0.16 0.18 0.38 0.45 0.22 0.31 0.33 0.61 0.40Year 2002 2004 2006 2008 2010 2012 2014 2016 2018Temp 0.63 0.54 0.64 0.54 0.72 0.64 0.75 1.02 0.85a. Make a scatterplot of the data. Being sure to clearly label each axis. Keep in mind howeach variable is defined. Based on this scatterplot, is a linear model reasonable for this data set?Briefly explain.b. Determine the correlation coefficient for this data. Interpret this value in context.c. Determine the coefficient of determination for this data. Interpret this value incontext.d.State the regression line for the data.e. What does the…arrow_forwardFind ? Engineering analyzesarrow_forwardHigh School GPA C.. G 5584455296-Goo.. The value of a house generally increases over time. Taylor buys a house for $400,000. After 1 year, the house is worth $440,000. After 2 years, the house is worth $480,000. After 3 years, the house is worth $520,000. What function e County Hi... describes the relationship between the year and the house value? nents O f(x) = 400,000x + 40,000 O f(x) = 40,000x + 400,000 O f(x) = 440,000 * (1.10)* O f(x) = 400,000 * (1.10)* %3Darrow_forward
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw HillAlgebra: Structure And Method, Book 1AlgebraISBN:9780395977224Author:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. ColePublisher:McDougal LittellCollege AlgebraAlgebraISBN:9781305115545Author:James Stewart, Lothar Redlin, Saleem WatsonPublisher:Cengage Learning
- College Algebra (MindTap Course List)AlgebraISBN:9781305652231Author:R. David Gustafson, Jeff HughesPublisher:Cengage LearningTrigonometry (MindTap Course List)TrigonometryISBN:9781337278461Author:Ron LarsonPublisher:Cengage Learning