Business Analytics: Data Analysis notes

1. The set of all values of the changing cells that satisfy all constraints, not including the nonnegativity constraints, is called the feasible region. a. True b. False 2. Linear programming is a subset of a larger class of models called: a. mathematical programming models b. mathematical optimality models c. linear regression models d. linear simplex model 3. In using Excel to solve linear programming problems, the target cell represents the: a. value of the objective function b. constraints...

1. Which of the following is not one of the assumptions of regression? a. There is a population regression line b. The response variable is normally distributed c. The standard deviation of the response variable increases as the explanatory variables increase d. The errors are probabilistically independent 2. The error term represents the vertical distance from any point to the a. estimated regression line b. population regression line c. value of the Y’s d. mean value of the X’s 3. Which ...

1. An observational study: a. analyzes data already available b. makes it possible to rule out factors over which the researcher has no control for the observed effects c. examines individuals that have been selected by the researchers d. allows researchers to control for all extraneous factors 2. Priti is wondering whether time of day impacts worker productivity. She randomly chooses 25 workers from each of the three shifts her company runs. The design of this study is a. even b. balanced c. u...

1. Data collected from approximately the same period of time from a cross-section of a population are called: a. time series data b. linear data c. cross-sectional data d. historical data 2. Regression analysis asks: a. if there are differences between distinct populations b. if the sample is representative of the population c. how a single variable depends on other relevant variables d. how several variables depend on each other 3. In regression analysis, the variables used to help explain or...

1. The three parameters required to specify a triangular distribution are the minimum, mean and maximum. a. True b. False 2. The binomial distribution is a discrete distribution that is applied to situations where n independent and identical “trials” occur, with each trial resulting in a “success” or “failure,” and we want to generate the random number of successes in the n trials. a. True b. False 3. The binomial distribution can be well approximated by the normal distribution whe...

1. Which methodology is used to group products that customers purchase together? a. Market basket analysis b. Prediction c. Classification analysis d. Forecasting 2. Mya is investigating the factors that impact soda consumption. She examines a host of variables that help explain the amount consumed. Which type of data mining methodology is she most likely to use? a. Market basket analysis b. Prediction c. Classification analysis d. Forecasting 3. A facts table has: a. few rows and many columns...

Description: - In the file you can find extensive number of exam questions. - Supports multiple editions (newer and older) - Different difficulty levels ranging from easy to extremely difficult - The whole book is covered (All chapters) - Questions you can expect to see: Multiple choice questions, Problem solving, essays, Fill in the blanks, and True/False. - PDF Format *** If you have any questions or special request feel free to send a private message

1. Which of the following is typically not an application of simulation models? a. Operations models b. Financial models c. Marketing models d. Value of Information models e. None of these options 2. Bidding for contracts is an example of which of the following types of simulation model application? a. Operations models b. Financial models c. Marketing models d. Games of chance e. None of these options 3. Cash balance models are an example of which of the following types of simulation applicat...

1. Forecasting models can be divided into three groups. They are: a. time series, optimization, and simulation methods b. judgmental, extrapolation, and econometric methods c. judgmental, random, and linear methods d. linear, non-linear, and extrapolation methods 2. Extrapolation methods attempt to: a. use non-quantitative methods to predict future values b. search for patterns in the data and then use those to predict future values c. find variables that are correlated with the data being pred...

1. The null hypothesis usually represents the: a. theory the researcher would like to prove. b. preconceived ideas of the researcher c. perceptions of the sample population d. status quo 2. In statistical analysis, the burden of proof lies traditionally with the: a. alternative hypothesis b. null hypothesis c. analyst d. facts presented to the statistical analyst 3. The hypothesis that an analyst is trying to prove is called the: a. elective hypothesis b. alternative hypothesis c. optional hyp...

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Test Bank for Business Analytics Data Analysis and Decision Making 6th Edition by S. Christian Albright, Wayne L. Winston

Test Bank for Business Analytics Data Analysis and Decision Making 6th Edition by S. Christian Albright, Wayne L. Winston

Test Bank for Business Analytics Data Analysis and Decision Making 6th Edition by S. Christian Albright, Wayne L. Winston

Test Bank Business Analytics Data Analysis and Decision Making 6th Edition By S. Christian Albright, Wayne L. Winston || Complete Exam With Questions & Answers All Chapters ( 1-20) | Updated 2024 A+ Bank Business Analytics Data Analysis and Decision Making 6th complete exam questions and answers Chapter 1-20 1. The decision-making themes covered in Business Analytics: Data Analysis & Decision Making include which of the following? a. optimization techniques b. decision analysis with uncertainty ...

Test Bank Business Analytics Data Analysis and Decision Making 6th Edition By S. Christian Albright, Wayne L. Winston || Complete Exam With Questions & Answers All Chapters ( 1-20) | Updated 2024 A+ Bank Business Analytics Data Analysis and Decision Making 6th complete exam questions and answers Chapter 1-20 1. The decision-making themes covered in Business Analytics: Data Analysis & Decision Making include which of the following? a. optimization techniques b. decision analysis with uncertainty ...

Description: - In the file you can find extensive number of exam questions. - Supports multiple editions (newer and older) - Different difficulty levels ranging from easy to extremely difficult - The whole book is covered (All chapters) - Questions you can expect to see: Multiple choice questions, Problem solving, essays, Fill in the blanks, and True/False. - PDF Format *** If you have any questions or special request feel free to send a private message

Test Bank for Business Analytics Data Analysis and Decision Making 6th Edition by S. Christian Albright, Wayne L. Winston

Test Bank for Business Analytics Data Analysis and Decision Making 6th Edition by S. Christian Albright, Wayne L. Winston