Download here

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Theoretical computer science wikipedia , lookup

Data analysis wikipedia , lookup

Data assimilation wikipedia , lookup

Corecursion wikipedia , lookup

K-nearest neighbors algorithm wikipedia , lookup

Transcript
Unit II Assignment – Practice Problem Exercise
1. A study is run to estimate the mean total cholesterol level in children 2-6 years of age. A sample of 9
participants are selected and their total cholesterol levels are measured as follows.
a. Compute the sample mean. (5 points)
Mean =
b. Compute the median. (5 points)
Median =
c. Compute the first and third quartiles. (5 points)
Q1 =
Q3 =
d. Summarize the data found in this case study. (15 points)
Please be sure to include the following:
1) Was the expected outcome related to the data and analysis? Please explain.
2) What other graph or visual display could be incorporated to display this data?
3) Imagine you are writing a brief synopsis of this case study. In 2-3 paragraphs, discuss the
following:
a) Purpose of the study.
b) Participants of the study.
c) Why was the study conducted?
d) Include any other information you feel the viewer of your synopsis would need to know
about the data that was used.
Synopsis:
2. Generate a Box-Whisker plot based from the data in Problem No. 1. Create your Box-Whisker plot in
Word, then copy and paste in the space below: (5 points)
3. In the study of a new anti-hypertensive medication, systolic blood pressures are measured at baseline
(the start of the study before any treatment is administered). The blood pressures data follows:
a. Compute the sample mean. (5 points)
Mean =
b. Compute the sample median. (5 points)
Median =
c. Compute the sample standard deviation. (5 points)
s=
d. Compute the sample range. (5 points)
Range =
e. Are there any outliers? Justify. (10 points)
Q1 =
Q3 =
Check for outliers: IQR =
Lower Limit =
Upper Limit =
Outlier: __________________
f. Summarize the data found in this case study. (15 points)
Please be sure to include the following:
1) Was the expected outcome related to the data and analysis? Please explain.
2) What other graph or visual display could be incorporated to display this data?
3) Imagine you are writing a brief synopsis of this case study. In 2-3 paragraphs, discuss the
following:
a) Purpose of the study.
b) Participants of the study.
c) Why was the study conducted?
d) Include any other information you feel the viewer of your synopsis would need to know
about the data that was used.
Synopsis:
4. Organize the systolic blood pressures in Problem No. 3 into categories and develop a frequency
distribution table. Generate a relative frequency histogram using the data from the frequency distribution
table.
a. Frequency distribution table: Create the table in Word based on the examples shown in the
textbook, pages 42-43. Copy and paste the table in the space below. (10 points)
b. Relative frequency histogram: Create a histogram in Excel based on the examples shown in the
textbook, pages 44-47. Copy and paste the histogram in space below. (10 points)