Applied Statistics in Business and Economics: Questions and Answers Essay Example
Applied Statistics in Business and Economics: Questions and Answers Essay Example

Applied Statistics in Business and Economics: Questions and Answers Essay Example

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  • Pages: 2 (392 words)
  • Published: April 3, 2017
  • Type: Case Study
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  1. Statistics is the science of collecting, organizing, analyzing, interpreting, and presenting data. TRUE
  2. Inferential statistics refers to generalizing from a sample to a population, estimating unknown parameters, drawing conclusions, and making decisions. TRUE
  3. Descriptive statistics refers to summarizing data rather than generalizing about the population. FALSE
  4. Estimating parameters and testing hypotheses are important aspects of descriptive statistics. FALSE
  5. Inconsistent treatment of data by a researcher is a symptom of poor survey or research design. FALSE
  6. Empirical data are collected through observations and/or experiments. TRUE
  7. Business intelligence refers to collecting, storing, accessing, and analyzing data on the company's operations in order to make better business decisions. TRUE
  8. When a statistician omits data contrary to her findings in a study, she is justified as long as the sample supports her ob
    ...

    jective. FALSE

  9. A strong correlation between A and B would imply that B is caused by A. FALSE
  10. The post hoc fallacy says that when B follows A then B is caused by A. TRUE
  11. A statistical test may be significant yet have no practical importance. True
  12. False  Valid statistical inferences cannot be made when sample sizes are small. TRUE
  13. Statistics is an essential part of critical thinking, because it allows us to transform the empirical evidence from a sample so it will agree with our preferred conclusions. TRUE
  14. Statistical challenges include imperfect data, practical constraints, and ethical dilemmas. TRUE
  15. A business data analyst needs a PhD in statistics. FALSE
  16. The science of statistics tells us whether the sample evidence is convincing. True
  17. Pitfalls to consider in a statistical test include non-random samples, small sample size, and lack of causal links. TRUE
  18. In business communication, a
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table of numbers is preferred to a graph because it is more accurate. FALSE

  • Statistical data analysis can often distinguish between real vs. perceived ethical issues. TRUE
  • Excel has limited use in business because advanced statistical software is widely available. FALSE
  • Statistics helps surmount language barriers to solve problems in multinational businesses. TRUE
  • Statistics can help you handle either too little or too much information. TRUE
  • Predicting a presidential candidate's percent of the statewide vote from a sample of 800 voters would be an example of inferential statistics. TRUE
  • An example of descriptive statistics would be reporting the percent of students in your accounting class that attended the review session for the last exam. TRUE
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