What is a probability space (aka probability model, aka formal
statistical model)? (b) Give a concrete...
What is a probability space (aka probability model, aka formal
statistical model)? (b) Give a concrete example (be explicit, and
avoid using just words if possible).
Give a formal statement of the following models identifying the
probability laws of the data and the parameter space.
i.A measuring instrument is being used to obtain n independent
determinations of a physical constant µ. Suppose that the measuring
instrument is known to be biased to the positive side by 0.1 units.
Assume that the errors are otherwise identically distributed normal
random variables with known variance.
ii.suppose that the amount of bias is positive but unknown. Can
you perceive any...
1- Statistically controlled variation of processes is also
called
A.
statistical probability processing.
B.
statistical process control.
C.
statistical innovation.
D.
statistically-driven implementation.
2- True or False? An example of an XmR chart would be one
showing the average daily time to bring a patient from an ambulance
into the ER plotted against the date, over a period of 3
months.
True
False
3- True or False? A stressor which only affects a diabetic
patient's blood sugar about once a...
what are the strength and weaknesses of formal theory
and statistical analysis? how can these methods be combined with
qualitative methods?
(word limit:700 words)
Discuss a probability model by 1. stating a sample space and
assigning probabilities to outcomes in the space. 2. Is the model
discrete or continuous? 3. Can you verify that it satisfies the
rules of probability? 4. Can you identify any events that are
independent, or any that are dependent? 5. Can you identify any
events whose probability would require the inclusion-exclusion
principle to calculate? 6. Can you identify any events whose
probability would require conditional probability to calculate?
Find...
Empirical probability: A statistical model was developed to
predict whether passengers on the Titanic ship survived base on
their information such as age, number of siblings and spouses were
on the ship, sex, the fare class, etc. The table below presents the
predicted results getting from the model compared with the actual
record:
Predicted survived
Predicted not survived
Actually survived
2245
280
Actually not survived
157
1137
If picking a random passenger, what is the probability that the
passenger survived...