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Lin is working on a science experiment. She wants to determine whether salt water boils faster than freshwater. She collects 10 samples of 100 milliliters of salt water and 10 samples of 100 milliliters of freshwater. She places each sample in a beaker on a hot plate. She then records the time it takes for each group to boil and finds that the difference in mean times for the groups is 24 seconds.
Lin writes a computer program to recombine all the data into all 184,756 possible different groupings and finds that 4,008 of the different groupings have an absolute difference in means of at least 24 seconds. Is there enough evidence for Lin to conclude that the difference in means is due to the addition of salt to the water? Explain or show your reasoning.
A company produces 10,000 toys each day. A sample of 25 toys is analyzed, and 2 of them are found to not meet the standards of the company, so they are labeled defective. A simulation is run for this situation 200 times, and the mean proportion of defective toys is 0.081 with a standard deviation of 0.007.
Technology required
Researchers are tagging sharks using two different types of devices and want to know if the devices affect the heart rate of the sharks. They tag one group of 8 sharks with a small device that collects a small amount of data, and they tag another group of 8 sharks with a larger device that collects a large amount of data. The researchers then measure the mean heart rate of the different groups and find that the difference in means is 2.5 beats per minute.
Researchers run 1,000 simulations regrouping the data into 2 groups at random and record the differences in means for the groups in each simulation. The histogram shows the differences in means from the simulations.
They determine that the mean of the differences of means from the simulations is 0.028 beats per minute and the standard deviation for the differences of means from the simulations is 1.124 beats per minute.
A human resources experiment about job satisfaction takes 10 subjects and divides them into 2 groups using a random process. The control group contains 5 subjects, and the treatment group contains 5 subjects. Each group is asked to rate their job satisfaction on a scale from 1 to 10. The control group results in these data: 3, 7, 8, 10, and 10. The treatment group results in these data: 5, 6, 7, 7, and 9.
Statisticians run 100 simulations regrouping the data into 2 groups at random and record the differences in means for the groups in each simulation. The histogram shows the differences in means from the simulations.
A gardening company is growing plants in the laboratory using their regular soil mix and a new soil mix. The company wants to know which soil causes the plants to grow taller at the end of 2 months. The mean height of the 25 plants grown using the regular soil mix is 14.6 inches. The mean height of the 25 plants grown using the new soil mix is 15.1 inches. The company's statistician uses simulations to get a randomization distribution. The randomization distribution is displayed in the histogram.
The histogram displays the results from 100 simulations of redistributing data from an experiment to create a randomization distribution comparing the weight, in milligrams, of two different groups.