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The different kinds of solutions for the course codes mentioned above (and all the others through the years) pitted our statistics assignment writers against some really challenging problems. They employed the best of their abilities & knowledge to crack problems, including advanced research techniques such as →
Correlation or bivariate analysis explores the relationship between two variables. It can also be carried out between multiple variables. Correlation analysis is a powerful quantitative research method that attempts to determine the nature and magnitude of the relationship between or among discrete data variables.
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Also known as the Wilcoxon rank-sum tests, this is a non-parametric analysis technique used when no assumptions can/should be made about the population/sample/outcome and the sample size is small. This test is conducted to determine whether test samples were derived from the same population.
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Here's an answer for a Bayesian problem crafted by one of our statistics assignment writers for a data science course assignment.
95 out of a hundred physicians estimate the probability of a woman having cancer to be about 75%. Do you agree?
Ans: Let’s define the events first.
B= benign tumour
M = malignant tumour
Now, BC = M. From the problem, P(M)= .01, so P(B) = 1 - P(M) = .99. We are also given the following conditional probabilities → P(+|M)= .80 and P(-|B) = .90. Thus, P (+|B) or false positive is equal to .10 [1 - P(-|B)]
Applying Bayes Theorem, we find →
P(M | +) = P(+ | M) P(M) / [ P(+ | M) P(M) + P(+ | B) P(B)]
= [0.80 * 0.01] / [0.80 * 0.01 + 0.1 * 0.09]
= 0.075 approximately
0.075 or 7.5% is a far cry from the given estimate of 75%. So, there’s no way of agreeing with it!
This is one among the thousands of problems solved by our statistics assignment writers. Go to our samples page to check out the quality of our solutions. Please go through our sample solutions and check out their reviews to ease any doubts.
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