Exam 14: Basic Data Analysis
Exam 1: The Role of Marketing Research75 Questions
Exam 2: Information Systems and Knowledge Management75 Questions
Exam 3: The Marketing Research Process75 Questions
Exam 4: The Human Side of Marketing Research: Organizational and Ethical Issues75 Questions
Exam 5: Qualitative Research Tools75 Questions
Exam 6: Secondary Data Research in a Digital Age75 Questions
Exam 7: Survey Research75 Questions
Exam 8: Observation75 Questions
Exam 9: Conducting Marketing Experiments75 Questions
Exam 10: Measurement and Attitude Scaling75 Questions
Exam 11: Questionnaire Design75 Questions
Exam 12: Sampling Designs and Sampling Procedures75 Questions
Exam 13: Big Data Basics: Describing Samples and Populations75 Questions
Exam 14: Basic Data Analysis75 Questions
Exam 15: Testing for Differences Between Groups and for Predictive Relationships75 Questions
Exam 16: Communicating Research Results75 Questions
Exam 17: Beyond the Basics in Basic Data Analysis75 Questions
Exam 18: Advanced Topics in Linear Analytics75 Questions
Exam 19: Testing Hypotheses With Glm Procedures75 Questions
Exam 20: Introducing Multivariate Data Analysis75 Questions
Exam 21: Multivariate Data Analysis: Analytics With Interdependence Techniques75 Questions
Exam 22: Primer on Structural Equations Modeling75 Questions
Select questions type
The distribution of the dependent variable determines which marginal total will serve as a base for computing percentages.
(True/False)
4.8/5
(31)
Combining the data from adjacent categories of a Likert-scale item is a common form of data transformation.
(True/False)
4.8/5
(35)
A significance level is a critical probability associated with a statistical hypothesis test that indicates how likely it is that an inference supporting a difference between an observed value and some statistical expectation is true.
(True/False)
4.7/5
(37)
When a third variable is included in an analysis and that third variable changes the relationship between the independent variable and the dependent variable in an important way,the third variable is called a(n)____.
(Multiple Choice)
4.9/5
(32)
All statistics that are appropriate to use for higher-order scales are also appropriate to use with lower-order scales.
(True/False)
4.7/5
(34)
The arrangement of data into a row-and-column format that gives the number of responses for each category of the variable is known as a(n)____________________ table.
(Short Answer)
4.8/5
(43)
The t-test is appropriate for small sample sizes with unknown standard deviations.
(True/False)
4.9/5
(40)
A planogram is a graphical way of showing the frequency distribution in which the height of a bar corresponds to the frequency of a category.
(True/False)
4.7/5
(29)
Scores or observations recalibrated to indicate how they relate to a base number are called ____________________ numbers.
(Short Answer)
4.9/5
(39)
A Type II error occurs when the researcher rejects the null hypothesis when,in fact,it is true.
(True/False)
4.9/5
(38)
Compare and contrast Type I errors and Type II errors and explain which one is of more concern to researchers.
(Essay)
4.9/5
(31)
The appropriate test to use for hypotheses involving an observed mean compared to specified value is the univariate ____________________.
(Short Answer)
4.7/5
(37)
Suppose 60 males are asked if they recognize the brand name,"Focus," and 35 of them correctly identify the product as a model of Ford's product line.The proportion of the sample who recognize this brand name is approximately ____.
(Multiple Choice)
4.9/5
(29)
Failing to identify a hypothesized difference using a sample result when a difference really does exist in the population is a ____ error.
(Multiple Choice)
4.9/5
(32)
Cross-tabulation allows the inspection and comparison of differences among groups based on nominal or ordinal categories.
(True/False)
4.9/5
(43)
Showing 61 - 75 of 75
Filters
- Essay(0)
- Multiple Choice(0)
- Short Answer(0)
- True False(0)
- Matching(0)