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ECE069

The document contains a set of multiple-choice questions related to engineering data analysis, covering topics such as statistics, estimation, hypothesis testing, and regression analysis. Each question presents options for definitions, concepts, and methods used in data analysis. It emphasizes the importance of understanding statistical principles and the implications of various tests and estimators.
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0% found this document useful (0 votes)
29 views2 pages

ECE069

The document contains a set of multiple-choice questions related to engineering data analysis, covering topics such as statistics, estimation, hypothesis testing, and regression analysis. Each question presents options for definitions, concepts, and methods used in data analysis. It emphasizes the importance of understanding statistical principles and the implications of various tests and estimators.
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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ECE069 – ENGINEERING DATA ANALYSIS INSTRUCTIONS: Select the correct answer for each of the following questions.

Anyone caught cheating will be automatically marked ZERO. MULTIPLE CHOICE 1.

1. Which of the following best defines statistics and data?

A. Statistics is the study of collecting, analyzing, and interpreting data, while data refers to the raw information gathered
through observation or experimentation

2. A good point estimator should be?

C. Unbiased, consistent, and relatively efficient

3. It refers to the process by which one makes inferences about a population based on information obtained from the
sample.

B. estimation

4. It refers to any measurable quantity calculated from the sample

A. statistic

5. It is an estimate of an interval in which a future observation will fall, with a certain probability, given what has already
been observed.

C. confidence interval

6. It covers a specified proportion of the population for a given confidence level.

A. tolerance interval

7. What does the central limit theorem state?

A. if the sample size increases sampling distribution must approach normal distribution

8. Which of these statements best describes confidence intervals?

A. the estimate of the interval should be repeatable, estimating the interval again and again, the same result will be
obtained

9. Which of the following is true about the relationship between the level of significance and the critical value?

A. As the level of significance increases, the critical value

10. What does the p-value represent in hypothesis testing?

B. The probability of observing the test statistic or something more extreme, given that the null hypothesis is true

11. In hypothesis testing, if the p-value is less than the level of significance, what should the researcher conclude?

B. Reject the null hypothesis

12. Which of the following scenarios represents a Type II error?

B. Concluding that a new drug is not effective when it actually is

13. The following describes null hypothesis, EXCEPT:

D. It is a statement of no difference between sample means or proportions. It may also be a statement of no difference
between a sample mean and a population mean. In other words, the difference equals 1
14. The following describes an alternative hypothesis, EXCEPT:

C. H1 can have a symbol with an equal in

15. Test is commonly used to test the statistical difference between a sample mean and a known or hypothesized value
of the mean in the population

B. one sample t-test

16. This test compares the mean for two groups of sample that are independently selected from each other.

A. independent sample t-test

17. It is used when we are interested in the difference between two variables for the same subject

C. paired sample t-test

18. A researcher wants to compare the pre-test and post-test scores of the same students. Which t-test should be used?

D. Paired-samples t-test

19. In simple linear regression analysis, it measures the strength of the linear relationship between the response
variable and the set of explanatory variables:

B. Pearson’s correlation coefficient

20. A large positive value of the slope (β1) in a simple linear regression model suggests?

A. A weak relationship between the variables B. A strong negative relationship between the variables C. A strong positive
relationship between the variables D. No relationship between the variables

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