Answer: d)In repeated samples of the same size, approximately 95 percent of the intervals constructed from the samples will capture the population difference in means.
Step-by-step explanation:
Confidence interval is constructed to estimate a range of values that could possibly contain the population parameter. This could be the population mean or population proportion. A 95 percent confidence interval does not mean 95% probability. It tells how confident that we are that the confidence interval contains the population proportion. If we construct 100 of the given confidence interval, we are confident that 95% of them would contain the true population parameter. Therefore, the correct option is
d)In repeated samples of the same size, approximately 95 percent of the intervals constructed from the samples will capture the population difference in means.
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Answer:
A. A two column table with five rows. The first column, x, has the entries, negative 3, negative 1, 1, 3. The second column, y, has the entries, 2, 2, 2, 2
Step-by-step explanation:
The relationship that has constant y-values is the one with zero slope. That would be the first table.
Answer:
x-intercepts: (1,0), (2,0), (5,0)
y-intercepts: (0,-10)
Step-by-step explanation:
One factor of the function
is 
Factor the polynomial in the following way:

Now factor the quadratic in brackets:

Hence,

The x-intercepts are points at which y = 0, so

The y-intercepts are points at which x = 0, so

Answer: The correct option is d
Step-by-step explanation:
Standard error measures how far the sample mean is from the population mean.
The formula for determining the standard error of the distribution of difference in means is expressed as
Standard error = √(s1²/n1 + s2²/n2)
where
s1 = sample 1 standard deviation
s2 = sample 2 standard deviation
n1 = number of samples 1
n2 = number of samples 2
From the information given
s1 = 2 pounds
n1 = 43 pounds
s2 = 1.7 pounds
n2 = 40 pounds
Standard error = √(2²/43 + 1.7²/40)