and continuous. True False 6. The ordinal level of measurement is considered the "lowest" level of measurement. True False 7. A store asks shoppers for their zip code to identify market areas. Zip codes are an example of ratio data. True False 8. An ordinal level of measurement implies some sort of ranking. True False 9. Data that can only be classified into categories is measured with a nominal scale. True False 10. The terms descriptive
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Goal: 5 6. Ordinal level of measurement is considered the "lowest" level of measurement. Answer: False Difficulty: Easy Goal: 5 7. A store asks shoppers for their zip code to identify market areas. Zip codes are an example of ratio data. Answer: False Difficulty: Easy Goal: 5 AACSB: REF 8. Ordinal level of measurement implies some sort of ranking. Answer: True Difficulty: Easy Goal: 5 9. Data that can only be classified
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Dave’s Crash Course in Statistics using SPSS 1.0 Classifying the different types of data There are four types of variables: nominal, ordinal, interval and ratio. Distinguishing between these types of variables is important, as several statistical tools may only be used for certain types of data. Nominal variables: where values are assigned to categories in no particular order. This assignment of values is arbitrary and holds no particular meaning or order to them. For example, “sex”
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Explain the following variables with their categories. For example: categorical, continuous, discrete or qualitative or quantitative. 1. Nominal 2. Ordinal 3. Dichotomous 4. Interval 5. Ratio Answer: We need to grasp the different types of variables we may discover while doing our dissertation. Categorical variables and Continuous variables are the main types of variables. Categorical variables are also known as qualitative or discrete variables while continuous variables are known
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statistical data. Simple everyday decisions are made through rationalizing a problem or opportunity, forming a hypothesis, analyzing information, and determining a decision based on the gathered information. For the purpose of practicality, Team A has chosen real estate market data gathered from the website for the Statistical Techniques in Business and Economics (2008) textbook to formulate and define a chosen problem, attempt to delineate the purpose of the research into the variables that affect
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MEASUREMENT: Measurement is the heart of scientific discipline. It is the process of assigning numbers to objects or observations, the level of measurement being a function of the rules under which the numbers are assigned. According to Zikmund, “Measurement is the process of describing some property of a phenomenon of interest, usually by assigning numbers in a reliable and valid way”. In our daily life we are said to measure when we use some yardsticks to determine weight, height or some other
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All of the following data are demographic data except a. income b. age c. education d. residence e. religion * Data Types The following question elicits _____ data. How satisfied are you with the last flight you took with American Airlines? Very Somewhat Neutral Somewhat Very Dissatisfied Dissatisfied Satisfied Satisfied 1 2
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What is the name of the variable that's used to predict another variable? Explanatory Standard error of the estimate Response Coefficient of determination Professors at a local university earn an average salary of $80,000 with a standard deviation of $6,000. The salary distribution is approximately bell-shaped. What can be said about the percentage of salaries that are at least $74,000? About 97.5 percent About 84 percent About 68 percent About 95 percent What type of relationship is indicated
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Meaning of Correlation Correlation and Data Types Pearson’s r Spearman rho Other Coefficients of Note Coefficient of Determination r2 The concept of correlation was introduced in Chapters 1 and 5. Our focus since Chapter 16 has been basic statistical procedures that measure differences between groups -- one-sample, two-sample, and k-sample tests. Now we turn our attention to basic statistical procedures that measure the degree of association between variables. Dr. Wesley Black studied the relationship
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Final Examination Study Guide This study guide prepares you for the Final Examination you complete in the last week of the course. It contains practice questions, which are related to each week’s objectives. Highlight the correct response, and then refer to the answer key at the end of this Study Guide to check your answers. Use each week’s questions as a self-test at the start of a new week to reflect on the previous week’s concepts. When you come across concepts that you are unfamiliar with
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