Two teams are comparing the speed of their runners. Each team ran a lap around a track, and their time in seconds was recorded. Although not a random sample, we can assume that their times are representative of each team's capabilities. We wish to see if there is evidence that Team 1 is slower (higher time) on average than Team 2. You wish to test the following claim (HaHa) at a significance level of α=0.002 Ho:μ1=μ2 Ha:μ1>μ2 You obtain the following two samples of data. Team #1 Team #2 80.1 76.1 81 81.1 74 76.9 67.3 80.1 90.6 76 77.4 71.9 85.7 69.3 83.5 78.2 82.5 72.1 69.3 81.9 77.6 74.1 78.9 85.7 73.6 86.7 82.5 72.5 83 78.3 80.8 86.7 90.6 74.5 70.9 78.9 74.5 76.9 84 71.1 81 80.6 75.6 74 81 67.3 83 76 75.6 79.8 78.2 71.9 71.4 77 71.9 70.9 71.1 80 73.6 77.4 70.6 79.2 87.3 78 84.9 68.3 56.5 50.2 67.8 66.5 64.2 62.1 75.6 76.4 78.4 71.8 69.5 63.5 71.1 70 76.4 56.5 79.7 72.1 73.9 79.7 78.1 79 71.8 80 79.7 66 71.6 65.4 73 54.3 57.3 83.4 85.9 65.1 64.5 74.2 What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? For this calculation, use the degrees of freedom reported from the technology you are using. (Report answer accurate to four decimal places.) p-value = The p-value is...? less than (or equal to) αα greater than α This test statistic leads to a decision to... reject the null accept the null fail to reject the null As such, the final conclusion is that... There is sufficient evidence to reject that Team 1 is slower (higher time) on average than Team 2. There is not sufficient evidence to reject that Team 1 is slower (higher time) on average than Team 2. There is sufficient evidence to show Team 1 is slower (higher time) on average than Team 2. There is not sufficient evidence to show Team 1 is slower (higher time) on average than Team 2.
Two teams are comparing the speed of their runners. Each team ran a lap around a track, and their time in seconds was recorded. Although not a random sample, we can assume that their times are representative of each team's capabilities. We wish to see if there is evidence that Team 1 is slower (higher time) on average than Team 2.
You wish to test the following claim (HaHa) at a significance level of α=0.002
Ho:μ1=μ2
Ha:μ1>μ2
You obtain the following two samples of data.
Team #1 | Team #2 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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What is the test statistic for this sample? (Report answer accurate to three decimal places.)
test statistic =
What is the p-value for this sample? For this calculation, use the degrees of freedom reported from the technology you are using. (Report answer accurate to four decimal places.)
p-value =
The p-value is...?
- less than (or equal to) αα
- greater than α
This test statistic leads to a decision to...
- reject the null
- accept the null
- fail to reject the null
As such, the final conclusion is that...
- There is sufficient evidence to reject that Team 1 is slower (higher time) on average than Team 2.
- There is not sufficient evidence to reject that Team 1 is slower (higher time) on average than Team 2.
- There is sufficient evidence to show Team 1 is slower (higher time) on average than Team 2.
- There is not sufficient evidence to show Team 1 is slower (higher time) on average than Team 2.
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