As part of a water quality survey, you test the water hardness in several randomly selected streams. The results are shown below. Construct a confidence interval for the population variance o and the population standard deviation o. Use a 99% level of confidence. Assume that the population has a normal distribution. n= 16 s= 15 grains per gallon Interpret the results. Select the correct choice below and fill in the answer box(es) to complete your choice. (Round to one decimal places as needed.) O A. With 1% confidence, it can be said that the population variance is between O B. With 99% confidence, it can be said that the population variance is less and than C. With 1% confidence, it can be said that the population variance is greater D. With 99% confidence, it can be said that the population variance is than between 102.9 and 733.5. What is the confidence interval for the population standard deviation o? (10.1, 27.1) (Round to one decimal place as needed.) Interpret the results. Select the correct choice below and fill in the answer box(es) to complete your choice. (Round to one decimal places as needed.) A. With 1% confidence, you can say that the population standard deviation is grains per gallon. O B. With 99% confidence, you can say that the population standard deviation is less than between and grains per gallon. O D. With 1% confidence, you can say that the population standard deviation is O C. With 99% confidence, you can say that the population standard deviation is between 10.1 and 27.1 grains per gallon. greater than grains per gallon.

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.