Answer:
True, this is the meaning of the z-score. Z = 0.65 means that the raw score is 0.65 standard deviations above the mean.
Step-by-step explanation:
The Z-score measures how many standard deviations a raw score is from the mean.
For example, a z-score of -2 means that the raw score is 2 standard deviations below the mean.
Another example, a z-score of 2 means that the raw score is 2 standard deviations above the mean.
If z= 0.65, then the raw score is 0.65 standard deviations above the mean.
True, this is the meaning of the z-score. Z = 0.65 means that the raw score is 0.65 standard deviations above the mean.
Margin of error = +/- Z*SD/sqrt (n)
Where, Z = 1.96 at 95% confidence interval, SD =standard deviation = 589 dollars, n= sample size (to be calculated)
For the values given;
132= 1.96*589/Sqrt (n) => Sqrt (n) = 1.96*589/132 = 8.7458 => n= 8.7458^2 = 76.49
Rounding up to near a person, n (sample size)= 77 students
Answer:
a
Step-by-step explanation:
it is really obvious
Step-by-step explanation:
The question is not correct so........