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A scientist is growing single-crystal diamonds in the laboratory using a standard process and a new process. The scientist wants to know which process causes the diamonds to grow faster. The mean growth rate for 20 diamonds grown using the standard process is 0.7 micrometer per hour. The mean growth rate for 20 diamonds grown using the new process is 0.9 micrometer per hour. The scientist uses 100 simulations to get a randomization distribution to determine if the results could have happened by chance even if the process had no impact on growth rate. The randomization distribution is displayed in the histogram.
Is it reasonable to conclude that the mean difference between the two groups could have occurred by chance even if the process had no impact on growth rate? Explain your reasoning.
The histogram displays the results from 200 simulations of redistributing data from an experiment to create a randomization distribution comparing the length, in millimeters, of two different groups.
The difference between the mean lengths of the two groups from which the data was collected is 2.5 millimeters.
The dot plot displays a randomization distribution of 325 simulations redistributing data from an experiment.
Select all of the values that represent a difference of the means in which there is evidence to determine that the results are likely due to the treatment.
-1.8
-1.6
-0.8
0
2
Technology required
Here are the mean amounts of milk, in gallons, produced weekly by 12 random samples with 20 dairy cows in each sample.
Use the values to estimate the mean amount of milk produced weekly by the dairy cow population, and provide a margin of error.
An internet company uses a random sample of 200 internet users and simulations to estimate the proportion of people who stream videos. The company estimates the proportion is 0.855 with a margin of error of 0.081. They decide to check their results by collecting another random sample with 300 internet users. Which of the results is most likely to be the estimates from the second random sample and simulations?
0.613 with margin of error 0.022
0.952 with margin of error 0.121
0.853 with margin of error 0.093
0.849 with margin of error 0.058
Mai has a box of standard number cubes. After rolling a number cube 20 times, she notices that the number 4 appears 9 times.
Mai suspects that this number cube is weighted in some way to make 4 appear more often than the other numbers. Mai has another number cube from the box that she has confirmed is fair (all of the numbers tend to be rolled with equal frequency). Explain a process in which Mai could use the fair number cube to gather evidence to show whether the number cube used in the original rolls is unfair.