Plasma-glucose levels are used to determine the presence of diabetes. Eleven activ people age 35-10 44-year-olds were sampled and their plasma-glucose levels were measured. Below is the R code with the R Output. The researcher believes that the plasma-glucose of these active people will be the same as the general population which has a mean of 4.86. Test at a significance level of 5% the researcher's belief. Assume normality of the population. (Round to the nearest hundredth 0.00)
Plasma-glucose levels are used to determine the presence of diabetes. Eleven activ people age 35-10 44-year-olds were sampled and their plasma-glucose levels were measured. Below is the R code with the R Output. The researcher believes that the plasma-glucose of these active people will be the same as the general population which has a mean of 4.86. Test at a significance level of 5% the researcher's belief. Assume normality of the population. (Round to the nearest hundredth 0.00)
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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Transcribed Image Text:Plasma-glucose levels are used to determine the presence of diabetes. Eleven active people age 35- to
44-year-olds were sampled and their plasma-glucose levels were measured. Below is the R code with
the R Output. The researcher believes that the plasma-glucose of these active people will be the same
as the general population which has a mean of 4.86. Test at a significance level of 5% the researcher's
belief. Assume normality of the population. (Round to the nearest hundredth 0.00)
RCode:
```{r}
Plasma_glucose
summary(Plasma_glucose)
sd(Plasma_glucose)
R Output
4.18, 4.82, 4.29, 4.28, 4.85, 4.73, 5.25, 5.41, 4.78, 5.43, 4.11
Min. 1st Qu. Median Mean 3rd Qu. Max.
4.110 4.285 4.780 4.739 5.050 5.430
0.4826894
===:
a) What is the null and alternative hypothesis?
Ho:
Ha:
I
Transcribed Image Text:b) What is the test statistic and calculate its value?
c) Find the p-value or critical value depending on the test statistic used above.
d) What is your decision and interpretation? (Remember to put the interpretation into the context of
the question)
e)
Find the 95% confidence interval for the true
population parameter
Is this confidence interval consistent with
your decision in part d?
Explain why or why not.
H
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