Question

**10. (1 pt) The following 10 data values are systolic
blood pressure readings. Compute the mean, range, standard
deviation, Q1, Q3, IQR and variance for these data using
StatCrunch. Are there any outliers in this data set? Plot a boxplot
to prove your answer. Copy and Paste your work from StatCrunch into
your Word document submission.**

**130 125 160 120 170**

**120 130 130 140 90**

Answer #1

mean = ΣX/n = 1415/10=
141.500

range=max-min = 190-120= 70.000

sample std dev = √ [ Σ(X - X̄)²/(n-1)] =
√(5102.5/9)= 23.8106

quartile , Q1 = 0.25(n+1)th value= 2.75th value of
sorted data= 123.75

Quartile , Q3 = 0.75(n+1)th value= 8.25th value of
sorted data= 162.5

IQR = Q3-Q1 = 162.5-123.75= 38.8

sample variance = Σ(X - X̄)²/(n-1)=
5102.5/9= 566.944

.

A study is run to estimate the mean Systolic Blood Pressure
level in adults 60 to 80 years of age. A sample of 10 participants
is selected and their Systolic Blood Pressure levels are measured
as follows.
125 135 160 146 135 140 154 170 110 140
Compute Quartiles 1 and 3
Q1=135 and Q2= 152
Q1=152 and Q2=135
Q1=125 and Q2=160
a and b

6) A special diet is intended to reduce systolic blood pressure.
If the diet is effective, the target is to have the average
systolic blood pressure of this group be below 150. After six
months on the diet, an SRS of 15 patients with high blood pressure
was evaluated; the data are shown below along with a stem plot of
the data. Is this sufficient evidence that the diet is effective in
meeting the target? Answer in the blanks to...

The data (bloodpressure) (first column is ID) gives the systolic
blood pressure (SBP), body size (QUET), age and smoking history
(SMK=0 if nonsmoker, SMK=1 if smoker) for a hypothetical sample of
32 white males over 40 years old from the town of Angina. In the
problem, we will choose SBP as the response. The two variables QUET
and SMK will be considered. Answer the following questions about
the separate straight-line regression of SBP on QUET for smokers
(SMK=1) and nonsmoker...

Bivariate Data & Probability
After completing the calculation by hand in Q1 you can use
Excel to check your answers before submitting. Q2 assesses your
general understanding of probability and linear associations using
Excel to analyse a large dataset.
Question 1
Covariance and Correlation
The table below shows a set of sample bivariate data. Calculate
the covariance and correlation coefficient by completing the below
table. Show all working.
X
Y
(X - )
(Y - )
(X - )(Y -...

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