A meaningful reason in order to eliminate an outlier from a dataset is the outli
ID: 3154495 • Letter: A
Question
A meaningful reason in order to eliminate an outlier from a dataset is the outlier is greater than the standard deviation. (TRUE/FALSE) An outlier in a dataset is an extreme point that may lie in the control limits. (TRUE/FALSE) If a sample size increases, the standard deviation (sigma_x) of the sample increases. (TRUE/FALSE) Standard deviation is an estimation of the standard error of a population mean. (TRUE/FALSE) A six-sigma process represents that the distance from the process mean to the nearest specification is six standard deviations. (TRUE/FALSE) Specification limits and control limits are relevant to each other, therefore, it is convenient to show specification limits on the control chart. (TRUE/FALSE) A small process capability is often preferred, since it is easier to maintain a process mean at the center of the specifications for long periods of time. (TRUE/FALSE) A point more than three interquartile ranges from the box edge is called an extreme outlier. (TRUE/FALSE) The difference in population proportions can be estimated by using the z formula for different sample proportion of population. (TRUE/FALSE) The graph that is shown below represents a normal distribution. (TRUE/FALSE)Explanation / Answer
10. The graph shows the distribution is highly left skewed. This is not normal distribution. FALSE.
9. 95% C.I (for population proportion)=(p1 hat-p2 hat)+-Z*SE(p1 har-p2 hat), where p1 hat and p2 hat represent sample proportions. TRUE.
8. TRUE.
3. If sample size increases, mean increases and standard deviation also increases. TRUE.
1. TRUE.
4. TRUE.