Question One:
When we cut a salamander, they have a specific healing rate. We are trying to create NewtSalve, a salve that will allow newts to heal at a faster pace. Healing rates are measured in micromemeters per hour. We want a significance level of 0.05. We know the following:
sd.pop = 8
mean.pop = 24
1) Create your H_o, H_a and make note of your significance level
We test the salve on the cuts of newts and measure the following healing rates:
> newts
34 30 20 33 32 34 21 27 26 19 17 22 18 31 34 32 31 21 35 33 18 34 19 21 22
NEW r CODE:
as a way to get all those values into r easily:
newts=scan() #hit enter.
copy paste all of the numbers in at once. hit enter a few times (probably twice). you should be set.
2) Check your data to make sure it's okay to use
3) Run the z test and get a p statistic.
4) Make any conclusions that you can. In complete sentences, make sure to describe what each piece of information you got means and what conclusions you can draw from it.
5) If my significance level had been 0.10, would that have made a difference?
Question Two:
On page 26, question page 1.38 gives the values for rainwater's acidity.
Check your data and give a 95% confidence interval for what the acidity for the population of rainwaters.
Question Three:
We've done a study to see if the resting rate at which people burn calories increases after they've done a exercise regimen. We found the average rate of caloric burn in subjects before (over a two week period) and then had them exercise every morning for two weeks. We collected that data as well. the sd.pop = 250. The data we collected is in the lists below.
Can we say that people burned more calories after the workouts then when they were not exercising?
THIS IS A MATCHED PAIRS DESIGN. BE CAREFUL. IF YOU ARE UNSURE OF WHAT TO DO HERE, PLEASE COME TALK TO ME AND MAKE SURE YOU'RE DOING IT RIGHT.
make sure to run a full analysis
> calories.burned.before
1679 1039 1952 1187 1626 1698 1140 1581 1887 1171 1345 1722 1253 1183 1205 1572 1099 1699 1330 1356 1249 1337 1731 1635 1483
> calories.burned.after
1814 1223 2089 1334 1691 1822 1115 1656 1881 1151 1388 1873 1257 1097 1405 1672 1205 1708 1497 1365 1149 1413 1749 1591 1423
Make sure to run a full analysis.
Question Four:
I want to see what the average amount of homework a Mount Anthony Union High School student has on a weeknight. I also want to be able to compare the amounts to see if the homework given on Monday is more or less than on other nights.
Go through the phases of creating a survey, experiment, or other tool to find this data.
Detail: goal, hypothesis, cautions, the tool you will use, the implementation, and any other pieces you feel important.
From the Book:
page 98, question 2.33
page 381, question 6.71