The table below shows the blood glucose of 20 IVC students before breakfast and two hours after breakfast, using a specific insulin dosing formula to cover carbohydrates. Is there compelling statistical evidence that the specific insulin dosing formula is effective in reducing blood glucose levels? Use a significance level of 0.05. Remember that once we have the mean, standard deviation, and sample size for the differences, we can apply methods that are used for a 1 sample t-test. Paired T for After - Before N Mean StDev 20 139.00 41.586 20137.05 37.760 59.137 After Before Difference 20 1.95 Null Hypothesis, HO Alternative Hypothesis, H1 Test Statistic, t > >

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breakfast, using a specific insulin dosing formula to
cover carbohydrates. Is there compelling statistical
evidence that the specific insulin dosing formula is
effective in reducing blood glucose levels? Use a
significance level of 0.05. Remember that once we
have the mean, standard deviation, and sample size for
the differences, we can apply methods that are used
for a 1 sample t-test.
Paired T for After - Before
After
Before
Difference 201.95
N Mean StDev
20139.00 41.586|
20137.05 37.760
59.137
Null Hypothesis, HO
Alternative
Hypothesis, H1
Test Statistic, t
P-value
Significance level
Conclusion
>
>
>
>
>
Transcribed Image Text:breakfast, using a specific insulin dosing formula to cover carbohydrates. Is there compelling statistical evidence that the specific insulin dosing formula is effective in reducing blood glucose levels? Use a significance level of 0.05. Remember that once we have the mean, standard deviation, and sample size for the differences, we can apply methods that are used for a 1 sample t-test. Paired T for After - Before After Before Difference 201.95 N Mean StDev 20139.00 41.586| 20137.05 37.760 59.137 Null Hypothesis, HO Alternative Hypothesis, H1 Test Statistic, t P-value Significance level Conclusion > > > > >
Use the data and table below to test the indicated
claim about the means of two paired populations
(matched pairs). Assume that the two samples are
each simple random samples selected from normally
distributed populations. Make sure you identify all
values.
The table below shows the blood glucose of 20 IVC
students before breakfast and two hours after
breakfast, using a specific insulin dosing formula to
cover carbohydrates. Is there compelling statistical
evidence that the specific insulin dosing formula is
effective in reducing blood glucose levels? Use a
significance level of 0.05. Remember that once we
have the mean, standard deviation, and sample size for
the differences, we can apply methods that are used
for a 1 sample t-test.
Paired T for After - Before
N Mean StDev
After
Before
Difference 201.95
20 139.00 41.586
20137.05 37.760
59.137
Null Hypothesis, HO
Alternative
Hypothesis, H1
Test Statistic, t
>
>
Transcribed Image Text:Use the data and table below to test the indicated claim about the means of two paired populations (matched pairs). Assume that the two samples are each simple random samples selected from normally distributed populations. Make sure you identify all values. The table below shows the blood glucose of 20 IVC students before breakfast and two hours after breakfast, using a specific insulin dosing formula to cover carbohydrates. Is there compelling statistical evidence that the specific insulin dosing formula is effective in reducing blood glucose levels? Use a significance level of 0.05. Remember that once we have the mean, standard deviation, and sample size for the differences, we can apply methods that are used for a 1 sample t-test. Paired T for After - Before N Mean StDev After Before Difference 201.95 20 139.00 41.586 20137.05 37.760 59.137 Null Hypothesis, HO Alternative Hypothesis, H1 Test Statistic, t > >
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