Yet there is a generally accepted measure for standard of living: average real gross domestic product (GDP) per capita. Let's break it down piece by piece: GDP measures annual economic output — the total value of new goods and services produced within a country's borders.
Answer: n=
−28
/61
Step-by-step explanation:
Answer:
Exact form, p = 63/8
decimal form, p = 7.875
Mixed number form, p = 7 7/8
Step-by-step explanation:
Solve for p by cross multiplying
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.
