Population Standard Deviation Made Easy: Learn with Examples, Equations, and Expert Tips
Recent questions in Population Standard Deviation
College StatisticsAnswered question
Jesse Urbina2022-07-31The quality-control inspector of a production plant will reject a batch of syringes if two or more defective syringes are found in a random sample of twelve syringes taken from the batch. Suppose the batch contains 1% defective syringes.
(b)
Find 𝜇 (in terms of the number of syringes). (Enter a number. Enter your answer to two decimal places.)
𝜇 = syringes
What is the expected number of defective syringes the inspector will find? (Enter a number. Enter your answer to two decimal places.)
(c)
What is the probability that the batch will be accepted? (Enter a number. Round your answer to three decimal places.)
(d)
Find 𝜎 (in terms of the number of syringes). (Enter a number. Round your answer to three decimal places.)
𝜎 = syringes
The quality-control inspector of a production plant will reject a batch of syringes if two or more defective syringes are found in a random sample of twelve syringes taken from the batch. Suppose the batch contains 1% defective syringes.
(b)
Find 𝜇 (in terms of the number of syringes). (Enter a number. Enter your answer to two decimal places.)
𝜇 = syringes
What is the expected number of defective syringes the inspector will find? (Enter a number. Enter your answer to two decimal places.)
(c)
What is the probability that the batch will be accepted? (Enter a number. Round your answer to three decimal places.)
(d)
Find 𝜎 (in terms of the number of syringes). (Enter a number. Round your answer to three decimal places.)
𝜎 = syringes
College StatisticsAnswered question
Paxton Hoffman 2022-07-23We have provided simple data sets for you to practice the basics of finding a population mean.
2, 5, 0, −1
2, 5, 0, −1
- 1
- 2
Population Standard Deviation is a statistical measure used to measure the amount of variation or dispersion of a set of data values. It is calculated by taking the square root of the variance of the population and is used in descriptive statistics to understand the data distribution. A high standard deviation indicates that data points are spread out over a wide range of values, while a low standard deviation means they are clustered close to the mean. This statistic is useful for finding outliers in a dataset and answering questions about the data.
