You are putting a rectangular hot tub on your back porch. It is 6 feet long, 5 feet wide, and 3 feet deep
2 answers:
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Answer:
<em>Learning Objective</em>: Use the mean and range to <u>compare</u> the spread and averages.
a) Sarah Mean = 70.9, Katie Mean = 78.9
b) Sarah Range = 15, Katie Range = 25
c) Sentences
- The <u>mean</u> shows, on average, Sarah was 8 seconds quicker than Katie.
- The <u>range</u> shows that Sarah was more consistent with her times. Katie had a larger spread of times which shows she was less consistent.
Step-by-step explanation:
Given:
Sarah's Data Set:
- 79, 70, 68, 75, 69, 64, 69, 75, 64, 76
Katie's Data Set:
- 79, 79, 76, 81, 89, 76, 64, 85, 82, 78
To Find:
- The mean and range of both data sets separately.
Work:
The mean of a data set is commonly known as the average. You find the mean by taking the sum of all the data values and dividing that sum by the total number of data values. The formula for the mean of a population is .
The formula for the mean of a sample is .
Both of these formulas use the same mathematical process: find the sum of the data values and divide by the total. For the data values given above, the solution is:
Therefore, the mean of Sarah's data set is 70.9.
For Katie's Data Set, .
Therefore, the mean of Katie's data set is 78.9.
To fill in the summary, we have to use the data we just calculated.
That summary can be found in the answer section.
Answer:
z=1.59
If we compare the p value and the significance level given we see that
so we can conclude that we fail to reject the null hypothesis, so we can conclude that the mean repellency of the new bug repellent is greater than 89% at 0.025 of signficance.
Step-by-step explanation:
1) Data given and notation
represent the mean effectiveness of a new bug repellent for the sample
represent the population standard deviation for the sample
sample size
represent the value that we want to test
represent the significance level for the hypothesis test.
t would represent the statistic (variable of interest)
represent the p value for the test (variable of interest)
State the null and alternative hypotheses.
We need to conduct a hypothesis in order to determine if the mean repellency of the new bug repellent is greater than 89% or 0.89, the system of hypothesis would be:
Null hypothesis:
Alternative hypothesis:
We don't know the population deviation, and the sample size <30, so for this case is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:
(1)
t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".
Calculate the statistic
We can replace in formula (1) the info given like this:
Calculate the P-value
First we need to calculate the degrees of freedom given by:
Since is a one-side upper test the p value would be:
In Excel we can use the following formula to find the p value "=1-T.DIST(1.59;17;TRUE)"
Conclusion
If we compare the p value and the significance level given we see that
so we can conclude that we fail to reject the null hypothesis, so we can conclude that the mean repellency of the new bug repellent is greater than 89% at 0.025 of signficance.