MAT 243 Applied Statistics for STEM
For a Student's t-distribution with mean 0, standard deviation 1, and degrees of freedom
49, which of the following Python lines outputs the probability P(t > 0.115)? -
ANS-import scipy.stats as st
print(st.t.ppf(0.115,49,01))
For a normal distribution with mean 5 and standard deviation 2 which of the following
python lines outputs the probability P(x > 7)? - ANS-import scipy.stats as st
print(st.norm.cdf(7,5,2))
For a student's t-distribution with mean 0, standard deviation 1 and degrees of freedom
30, which of the following python lines outputs the probability P(t < -0.185)? -
ANS-import scipy.stats as st
print(st.t.pdf(-0.185,30,0,1)
For a normal distribution with mean 0 and standard deviation 1 which of the following
python lines outputs P( -0.15 , x < 1.88)? - ANS-import scipy.stats as st
print(st.norm.cdf(1.88,0,1)- st.norm.cdf(-0.15, 0 ,1)
For a student's t-distribution with mean 0 and standard deviation 1, and degrees of
freedom 30 which of the following outputs the probability P(1.50 < t < 2.85)? -
ANS-import scipy.stats as st
print(st.t.cdf(2.85,30,0,1 - st.t.cdr(1.5,30,0,1))
For a normal distribution with mean 0 and standard deviation 1 which of the following
python lines outputs the probability P(z < 0.325)? - ANS-import scipty. stats as st
print(st.norm.cdf(0.325,0,1))
For a normal distribution with mean 0 and standard deviation 1 which of the following
python lines outputs the critical value a if P( z > a) = 0.818 - ANS-import scipy.stats as st
print(st.norm.isf(0.818,0,1))
Which Python modules is used to create confidence intervals? - ANS-scipy
In the following Python commands, what does the 0.99 represent? - ANS-confidence
level
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