Answer:
Explained below.
Step-by-step explanation:
According to the Central Limit Theorem if an unknown population is selected with mean μ and standard deviation σ and appropriately huge random samples (n > 30) are selected from this population with replacement, then the distribution of the sample means will be approximately normal.
Then, the mean of the sampling distribution of sample means is given by,
And the standard deviation of the sampling distribution of sample means is given by,
So, if the sample of daily calcium intake of Americans collected is more than 30, then the sampling distribution of 
will be approximately normal.
I think that x=2 and so does y=2. Hope that answers your question.
Answer:
Step-by-step explanation:
Sum: addition
Difference: subtraction
Product: multiplication
Number Sum Difference Product
1, 4 1 + 4 = 5 4 - 1 = 3 1 * 4 = 4
2, 8 2 + 8 = 10 8 - 2 = 6 2 * 8 = 16
Hope this helps!
Answer:
Step-by-step explanation:
A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".
The margin of error is the range of values below and above the sample statistic in a confidence interval.
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The population proportion have the following distribution
So under the null hypothesis the mean for the population proportion is p
And the standard deviationis given by:
