Exam 1: An Introduction to Business Statistics and Analytics
Exam 1: An Introduction to Business Statistics and Analytics98 Questions
Exam 2: Descriptive Statistics and Analytics: Tabular and Graphical Methods120 Questions
Exam 3: Descriptive Statistics and Analytics: Numerical Methods145 Questions
Exam 4: Probability and Probability Models150 Questions
Exam 5: Predictive Analytics I: Trees, K-Nearest Neighbors, Naive Bayes,101 Questions
Exam 6: Discrete Random Variables150 Questions
Exam 7: Continuous Random Variables150 Questions
Exam 8: Sampling Distributions111 Questions
Exam 9: Confidence Intervals149 Questions
Exam 10: Hypothesis Testing150 Questions
Exam 11: Statistical Inferences Based on Two Samples140 Questions
Exam 12: Experimental Design and Analysis of Variance132 Questions
Exam 13: Chi-Square Tests120 Questions
Exam 14: Simple Linear Regression Analysis147 Questions
Exam 15: Multiple Regression and Model Building85 Questions
Exam 16: Predictive Analytics Ii: Logistic Regression, Discriminate Analysis,101 Questions
Exam 17: Time Series Forecasting and Index Numbers161 Questions
Exam 18: Nonparametric Methods103 Questions
Exam 19: Decision Theory90 Questions
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Temperature (in degrees Fahrenheit) is an example of a(n) ________ variable.
(Multiple Choice)
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________ uses traditional or newer graphics to present visual summaries of business information.
(Multiple Choice)
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A study is being conducted on the effect of gas price on the number of miles driven in a given month. Residents in two cities, one on the East Coast and one on the West Coast, are randomly selected and asked to complete a questionnaire on the type of car they drive, the number of miles they live from work, the number of children under 18 in their household, their monthly income, and the number of miles they have driven over the past 30 days. Is this an experimental or observational study?
(Short Answer)
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________ is the science of using a sample to make generalizations about the important aspects of a population.
(Multiple Choice)
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A data set provides information about some group of individual ________.
(Multiple Choice)
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When we are choosing a random sample and we do not place chosen units back into the population, we are
(Multiple Choice)
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A study is being conducted on the effect of gas price on the number of miles driven in a given month. Residents in two cities, one on the East Coast and one on the West Coast, are randomly selected and asked to complete a questionnaire on the type of car they drive, the number of miles they live from work, the number of children under 18 in their household, their monthly income, and the number of miles they have driven over the past 30 days. List the factor(s).
(Short Answer)
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In ________ we select elements because they are easy to sample.
(Multiple Choice)
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________ sampling is where we know the chance that each element will be included in the sample, which allows us to make statistical inferences about the sample population.
(Multiple Choice)
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A ________ variable takes on values that are numbers on the real number line.
(Multiple Choice)
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Errors of non-observation occur when data values are recorded incorrectly.
(True/False)
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Data warehousing is defined as a process of centralized data management and retrieval.
(True/False)
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The target population is the result of sampling from the original population that is of interest to the researcher.
(True/False)
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When the data being studied are gathered from a published source, this is referred to as a(n) ________.
(Multiple Choice)
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