Answer:
The correct answer is:
the amount of difference expected just by chance (b)
Step-by-step explanation:
Standard error in hypothesis testing is a measure of how accurately a sample distribution represents a distribution by using standard deviation. For example in a population, the sample mean deviates from the actual mean, the mean deviation is the standard error of the mean, showing the amount of difference between the sample mean and the actual mean, occurring just by chance. Mathematically standard error is represented as:
standard error = (mean deviation) ÷ √(sample size).
standard error is inversely proportional to sample size. The larger the sample size, the smaller the standard error, and vice versa.
8.83176088663 is the answer
Answer:
he is incorrect.
Step-by-step explanation:
It would be 5 and 38 HUNDRETHS because the first number after the decimal is the tenths.
Answer:
B is the answer
Step-by-step explanation:
Answer:
Step-by-step explanation:
You were so mean I needed help and you become insensetive and just typed "cool"for the points I will show you back one day
