Answer:
Step-by-step explanation:
The larger the sample size, the lower the standard deviation. The standard deviation shows how the data is spread from the mean. Therefore, benefit of increasing the sample size when trying to estimate the mean from a sample average are
a. A reduction in the bias of the estimate.
b. A reduction in the variability of the estimate.
The width of confidence interval is determined by the margin of error
Margin of error = z × s/√n
A smaller standard deviation and increased size would result to a narrower confidence interval. Therefore, increasing the sample size does not result to an increase in the width of the resulting confidence interval.
Both answers are C for #4 and #5
(-24z^2) / (6z)
Simplifies to -4
There are 7.5 ounces in each serving
<em><u>Solution:</u></em>
Given that, Sara making punch for her party her punch bowl holds 600 ounces for 80 servings of punch
<em><u>To find: Ounces of punch in each serving</u></em>
From given,
Number of servings = 80
Ounces in bowl = 600 ounces
Then, Ounces of punch in each serving is found by dividing the ounces in bowl by number of servings
<em><u>The formula used is:</u></em>
<em><u>Substituting the values we get,</u></em>
Thus there are 7.5 ounces in each serving
