Answer:
The confidence interval for the mean is given by the following formula:
Step-by-step explanation:
1) Notation and definitions
number of people or things with a specific characteristic.
random sample taken
estimated proportion of people or things with a specific characteristic.
true population proportion of people or things with a specific characteristic.
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".
Solution to the problem
The population proportion have the following distribution
If we have all the conditions required in order to construct the confidence interval:
1) Random sample selected
2) np >10
3) n(1-p)>10
Then the confidence interval for the mean is given by the following formula:
Answer:
The terms of the polynomial are relatively prime because the highest integer that divides them both is 1.
Step-by-step explanation:
Two numbers are said to be relatively prime if their greatest common factor ( GCF ) is 1 .
Now, the expression we are given in the question is a polynomial;
y² + 7.
The terms of the polynomial y² + 7 are y² and 7 and have no common factor and in fact cannot be factorized further. Thus, these terms are said to be relatively prime because the highest integer that divides them both is 1.
Answer:
none, it's not symmetrical in any way
Step-by-step explanation:
what I am supposed to write here
Answer:
Step 1: Calculate the mean of the data—this is xˉx, with, \bar, on top in the formula.
Step 2: Subtract the mean from each data point. ...
Step 3: Square each deviation to make it positive.
Step 4: Add the squared deviations together.
Step 5: Divide the sum by one less than the number of data points in the sample.
Step-by-step explanation: