The Type II error would be to conclude that EnerG is no more nutritious than Supreme when Energy actually provides more health benefits.
Option b
<u>Explanation:</u>
Type II error sometimes referred to as beta error is a term in statistics that doesn’t reject the false-null hypothesis. It occurs when one refuses to reject the false null hypothesis. In this type of error, the false findings are accepted as true.
It also confirms two different scenarios as similar even though they are different. It can be reduced by adjusting the criteria of the null hypothesis by increasing tolerance with caution to ensure that the error type doesn’t end up being Type I error.
Technology and Government Policy
a. classical conditioning.
hope this answer correct (^^)
The median and interquartile range.
