Answer:
The true proportion for the population would be between 0.386 and 0,398 (0.392±0.06) in 95% confidence level.
Step-by-step explanation:
Confidence interval for true population proportion can be computed as p±ME where
- p is the sample proportion (
) - ME is the margin of Error from the mean
and margin of error (ME) can be found using the formula
ME=
where
- z is the corresponding statistic in 95% confidence level (1.96)
- p is the sample proportion (
)
- N is the sample size (250)
Using the numbers
ME=
≈ 0.06
Then the true proportion for the population would be p±ME = 0.392±0.06 in 95% confidence level.
He would spend 246.5 each day because you would divide 1,725.50 by 7 and get 246.5
Answer:
y = -8
Step-by-step explanation:
If the equation is parallel to y = 9, the you already know that the equation must be y = some value. It passes through the point (3,-8). Just put that y value into the equation to get y = -8
Answer:
The probability that the mean of the sample would differ from the population mean by less than 36 points=0.9216
Step-by-step explanation:
We are given that
The variance of the scores on a skill evaluation test=143,641
Mean=1517 points
n=343
We have to find the probability that the mean of the sample would differ from the population mean by less than 36 points.
Standard deviation,




Hence, the probability that the mean of the sample would differ from the population mean by less than 36 points=0.9216