Answered

Welcome to Westonci.ca, where your questions are met with accurate answers from a community of experts and enthusiasts. Experience the ease of finding precise answers to your questions from a knowledgeable community of experts. Get immediate and reliable solutions to your questions from a community of experienced professionals on our platform.

The concentration of an additive in a standard sample of palm oil was measured 6 times and the following results were obtained: 0.13, 0.11, 0.14, 0.20, 0.13, 0.12 ppm. Determine if any of the given data is an outlier and should be rejected at 95% confidence level?

Sagot :

michell96

In the data, 0.20 ppm is an outlier and this can be rejected if there is a 95% confidence level.

What is an outlier?

When analyzing data an outlier is a value that is abnormal or too different from other data. In the case presented 0.20 can be tagged as an outlier because other values such as 0.11, 0.12, 0.13, and 0.14 are similar while 0.20 is outside this range.

Should this piece of data be rejected?

The general rule is that if there is a 95% of confidence or higher you can reject an outlier, knowing the other data occurs 95% of the time, and therefore the outlier is improbable.

Based on this, you can reject an outlier if the confidence level is 95%.

Learn more about outlier in: https://brainly.com/question/9933184

We appreciate your visit. Hopefully, the answers you found were beneficial. Don't hesitate to come back for more information. Thank you for your visit. We're dedicated to helping you find the information you need, whenever you need it. We're glad you visited Westonci.ca. Return anytime for updated answers from our knowledgeable team.