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Problem Analysis
This Case Study problem is basically a prediction problem and we have to use Supervised Learning Algorithms of Machine Learning . Here we are given some input data with some multiple inputs and a output and we have to predict the output. It is basically a classification problem of Supervised Learning where output is a categorical variable having discrete values(in our case Creditability is output variable with values 0 and 1)
Detect the customers to give give them loan or not.
Compare and contrast internal and external validity. Describe and give examples of research questions for which external validity is a primary concern.
Use the following frequency distribution to determine the midpoint of the second class.
Paired samples t-test for the given data - financial advice from the voluntary organization - A local voluntary organization affiliated to the Citizens Advice Bureau offers free financial advice to residents in the area who are registered debtors
six months ago you purchased 2800 shares of abc stock for 31.99 a share. you have received dividend payments equal to
1. Suppose that 4 items are selected at random from manufacturing process. Each item is inspected and classified defective (D) or non-defective (N).
determine the area under the standard normal curve that lies to the left of a z-1.03 b z-1.42 c z-0.77 and d
the standard deviation of a normally distributed population is equal to 10. a sample size of 25 is selected and its
What is the minimum possible time required for completing the project?
If the researcher computes the t-statistic to be 4.2 and t-value found in t table for df=60 and level of significance of 0.5, is 2.0 researcher would accept or reject null hypothesis.
At the .05 significance level, is there a difference in the proportion of viewers watching the three channels?
Write all the possible samples of size 2 and calculate the average or median of each one.
a researcher selects a sample from a population with m 30 and uses the sample to evaluate the effect of a treatment.
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