Hilfe
Verfasst: Mi Apr 14, 2021 12:53 pm
Hi Leute ich habe hier zwei Aufgaben und bekomme sie nicht gelöst, könnte mir jemand die Lösung geben?
Vielen Dank schon mal
Exercise 1
We examine again the data of the gene expression of the CCND3 Cyc-D3 gene from Day2.
2.10892 1.52405 1.96403 2.33597 1.85111 1.99391 2.06597 1.81649 2.17622 1.80861 2.44562
1.90496 2.76610 1.32551 2.59385 1.92776 1.10546 1.27645 1.83051 1.78352 0.45827 2.18119
2.31428 1.99927 1.36844 2.37351 1.83485
- Plot a probability histogram of these data overlayed by a normal distribution.
- What is the probability that a patient diagnosed as Acute Lymphoblastic Leukemia has a
gene expression between 2 and 2.5?
- Calculate the 95% probability confidence interval (CI) of the true mean of the CCND3
Cyc-D3 gene expression of the whole population of persons suffering of Acute Lymphoblastic
Leukemia (using the self coded CI function).
- Using the standard deviation you found yesterday for this data set as an estimator of sx,
calculate the number of patients from which we should assess the gene expression to have a
confidence interval of the mean smaller than 0.2.
Exercise 2
In a lab, a scientist wants to show that a mutant line of mice has an increased glucose level
in the blood in comparison to the wild type (“Normal”).
Therefore, 20 wild type and 20 mutant mice were kept under identical conditions (completely
randomized experiment). From all of these 40 mice a blood sample was taken and the blood
glucose was measured. You can find the data in the wt_vs_mutant.txt file.
- Calculate the standard deviation, and the coefficient of variation of the blood glucose for
both wild type and mutant (using the function apply).
- Plot a box plot of the glucose level of the two types, include a main label “WT vs Mutant”
and a label for the y axis “Blood glucose [mg/dl]” and save it as .jpeg.
- Analyze the data: are there significant differences in term of glucose level between wild type
1
and mutant? (set your H0 hypothesis and explain which test you use).
Vielen Dank schon mal
Exercise 1
We examine again the data of the gene expression of the CCND3 Cyc-D3 gene from Day2.
2.10892 1.52405 1.96403 2.33597 1.85111 1.99391 2.06597 1.81649 2.17622 1.80861 2.44562
1.90496 2.76610 1.32551 2.59385 1.92776 1.10546 1.27645 1.83051 1.78352 0.45827 2.18119
2.31428 1.99927 1.36844 2.37351 1.83485
- Plot a probability histogram of these data overlayed by a normal distribution.
- What is the probability that a patient diagnosed as Acute Lymphoblastic Leukemia has a
gene expression between 2 and 2.5?
- Calculate the 95% probability confidence interval (CI) of the true mean of the CCND3
Cyc-D3 gene expression of the whole population of persons suffering of Acute Lymphoblastic
Leukemia (using the self coded CI function).
- Using the standard deviation you found yesterday for this data set as an estimator of sx,
calculate the number of patients from which we should assess the gene expression to have a
confidence interval of the mean smaller than 0.2.
Exercise 2
In a lab, a scientist wants to show that a mutant line of mice has an increased glucose level
in the blood in comparison to the wild type (“Normal”).
Therefore, 20 wild type and 20 mutant mice were kept under identical conditions (completely
randomized experiment). From all of these 40 mice a blood sample was taken and the blood
glucose was measured. You can find the data in the wt_vs_mutant.txt file.
- Calculate the standard deviation, and the coefficient of variation of the blood glucose for
both wild type and mutant (using the function apply).
- Plot a box plot of the glucose level of the two types, include a main label “WT vs Mutant”
and a label for the y axis “Blood glucose [mg/dl]” and save it as .jpeg.
- Analyze the data: are there significant differences in term of glucose level between wild type
1
and mutant? (set your H0 hypothesis and explain which test you use).
