Before and after heart rate was measured from a group of participants after taking an experimental COVID19 vaccine. Which of the following conclusions is correct for the test results below. > t.test(hrdata$afterVaccine, hrdata$beforeVaccine, paired=TRUE) Paired t-test data: hrdata$afterVaccine and hrdata$beforeVaccine t = 1.4038, df = 9, p-value = 0.1939 %3D alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: -2.568014 10.968014 sample estimates: mean of the differences 4.2 Hint* the first line of code should tell you the type of test you are dealing with. There is a significant difference in Heart Rate data between before and After observations. There is No difference in Heart Rate data between Before and After observations. The confidence intervals indicate that there is a difference between Before and After observations.

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
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Author:HOUGHTON MIFFLIN HARCOURT
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Chapter9: Solving Quadratic Functions
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Before and after heart rate was measured from a group of participants after
taking an experimental COVID19 vaccine. Which of the following
conclusions is correct for the test results below.
> t.test(hrdata$afterVaccine, hrdata$beforeVaccine, paired=TRUE)
Paired t-test
data: hrdata$afterVaccine and hrdata$beforeVaccine
t = 1.4038, df = 9, p-value = 0.1939
alternative hypothesis: true difference in means is not equal to 0 95
percent confidence interval: -2.568014 10.968014 sample estimates:
mean of the differences
4.2
Hint* the first line of code should tell you the type of test you are dealing with.
There is a significant difference in Heart Rate data between before and After
observations.
There is No difference in Heart Rate data between Before and After observations.
The confidence intervals indicate that there is a difference between Before and
After observations.
Transcribed Image Text:Before and after heart rate was measured from a group of participants after taking an experimental COVID19 vaccine. Which of the following conclusions is correct for the test results below. > t.test(hrdata$afterVaccine, hrdata$beforeVaccine, paired=TRUE) Paired t-test data: hrdata$afterVaccine and hrdata$beforeVaccine t = 1.4038, df = 9, p-value = 0.1939 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: -2.568014 10.968014 sample estimates: mean of the differences 4.2 Hint* the first line of code should tell you the type of test you are dealing with. There is a significant difference in Heart Rate data between before and After observations. There is No difference in Heart Rate data between Before and After observations. The confidence intervals indicate that there is a difference between Before and After observations.
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