Dear beloved readers, welcome to our website! We hope your visit here brings you valuable insights and meaningful inspiration. Thank you for taking the time to stop by and explore the content we've prepared for you.
------------------------------------------------ Your sample is normally distributed with a mean temperature of 98.3 degrees. The standard deviation in this sample is 0.8 degrees. You would expect:

A. Most of the temperatures to be close to 98.3 degrees.
B. A wide range of temperatures in the sample.
C. All temperatures to be exactly 98.3 degrees.
D. The standard deviation to be negative.

For a normally distributed sample with a mean of 98.3 and a standard deviation of 0.8, most data points are expected to be close to the mean, with a not too wide range due to the low standard deviation, and some slight variations around the mean. A negative standard deviation is impossible.

Explanation:

The question is asking about the characteristics of a normally distributed sample with a mean temperature of 98.3 degrees and a standard deviation of 0.8 degrees. In a normal distribution:

We would expect most of the temperatures to be close to the mean (98.3 degrees). This is due to the nature of a normal distribution, where most data lies close to the mean.
We wouldn't expect a wide range of temperatures as the standard deviation (0.8) is relatively low. A low standard deviation means that most of the data points are close to the mean.
All temperatures would not be exactly 98.3 degrees. While the mean is 98.3, a normal distribution would include temperatures a bit lower and a bit higher than the mean.
The standard deviation cannot be negative. It is a measure of variability, and can be either positive or zero, never negative.

In summary, for a normal distribution with a specific mean and standard deviation, the majority of data is expected to be near the mean with slight variations according to the standard deviation.

Learn more about Normal Distribution here:

https://brainly.com/question/30390016

#SPJ11