15. A value that more than a standard deviation from the median is a possible ou

Question

15. A value that more than a standard deviation from the median is a possible outlier Ca 1. Results from studies should always be generalized to the entire population regardless of the sample CI. A confidence interval will always contain the true value of the population parameter. Ir X B10,10), then 5 successes are more likely than 5 failures. 18. Outliers should always be excluded from analyses. 1. If a distribution of a variable is positively skewed, then it may have a symmetric boxplot 8. Stratified analyses should not be used for skewed data

Explanation / Answer

Answer to each part with explanations:

3, False. Outliers are deined as 1.5*IQR more than Q3 and 1.5*IQR less than Q1

4. False. No if results are such that they cannot be then generalization should be avoided

5. False. It is not neccary that you find the population mean within a certain Confidence level

6. false. They will be equal since both , p(5 success) and p(5 failures) are equal

7. False. Not neccarily, outliers are sometimes left in the dataset It depends on the problem you are solving. It also depends on the number of data points you have

8. False, then you have a skewed right box plot, with very long right whiskers

9. False. Stratified sampling is one way to overcome skewness in the
data.

Related Questions

Navigate

• Browse (All)
• Browse 1
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.