Given a normal distribution with µ = 10 and σ = 2, find
(a) the normal curve area to the right of x = 6;
(b) the normal curve area between x = 6 and x = 14;
(c) the two values of x that contain the middle 75% of the normal
curve area.
please show all work if possible. Thank you
Let X ∼ Normal(0, σ^2 ).
(a) Find the distribution of X^2/σ^2 . (Hint: It is a pivot
quantity.)
(b) Give an interval (L, U), where U and L are based on X, such
that P(L < σ^2 < U) = 0.95.
(c) Give an upper bound U based on X such that P(σ^2 < U) =
0.95.
(d) Give a lower bound L based on X such that P(L < σ^2 ) =
0.95
For normal data with unknown mean µ and σ^2, we use the prior f
(µ, log(σ)) = 1.
23 data points: 5.36 5.29 5.58 5.65 5.57 5.53 5.62 5.29 5.44
5.34 5.79 5.1 5.27 5.39 5.42 5.47 5.63 5.34 5.46 5.3 5.75 5.68
5.85
Q. Draw sample (or theoretical) posterior joint pdf of (µ, σ^2),
marginal pdf of µ, marginal pdf of σ^2, and posterior predictive
pdf.
To estimate the mean of a population with unknown
distribution shape and unknown standard
deviation, we take a random sample of size 64. The sample
mean is 22.3 and the sample standard deviation is 8.8. If we wish
to compute a 92% confidence interval for the
population mean, what will be the t multiplier? (Hint: Use
either a Probability Distribution Graph or the Calculator from
Minitab.)
Which is false?
A. A statistic is used to estimate an unknown parameter
B. Non sampling errors can be present even when a census is
taken
C. Increase sample size to reduce bias
D. Margin of error will get smaller when you increase sample
size
E. Variability describes how spread out the values of the
sample statistic are when we take many samples.
Consider a normal population distribution with the value of σ known.(a) What is the confidence level for the interval \(\bar{x} \pm 2.81 \sigma / \sqrt{n} ?\) (Round your answer to one decimal place.) \(\%\)(b) What is the confidence level for the interval \(\bar{x} \pm 1.43 \sigma / \sqrt{n} ?\) (Round your answer to one decimal place.) \(\%\)(c) What value of \(z_{\alpha / 2}\) in the CI formula below results in a confidence level of \(99.7 \% ?\) (Round your answer...
For a normal distribution with a mean of µ = 150 and an
SD of σ = 15:
3. Find these probabilities: a. p (X > 150) b. p(X
< 120) c. p(X < 170) d. p(130 < X < 175)
A researcher wants to test her hypothesis that drinking
caffeine while learning a new skill will aid in developing that
skill. In order to test her hypotheses, she recruits a sample of 25
beginner piano students from a nearby...
For a normal distribution with a mean of μ = 150 and an SD of σ
= 15:
3. Find these probabilities: a. p (X > 150)
b. p(X < 120)
c. p(X < 170)
d. p(130 < X < 175)