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In this illustrative data set below, there are four categorical predictors, namely, "Outlook" (X1), "Temp" (X2), "Humidity" (X3), and "Windy" (X4), which describe the weather conditions of 14 different days (observations, i.e., rows of the table). The goal is to model whether ("Play" = Yes) or not ("Play" = No) a particular day is suitable to play. Variable "Play" is our dependent variable (Y), and since it takes on two possible values only, this is a binary classification problem. Consider the "Outlook" (X1 = Rainy), "Temp" (X2 = Mild), "Humidity" (X3 = Normal), and "Windy" (X4 = False), is this weather condition suitable for playing? Please use Naïve Bayes to model this problem. Note that the calculation process (Naïve Bayes probability table and calculation based on Naïve Bayes formula) is required for this question.
What z-score is used to represent the highest 25% of the data? Answer to three decimal places.
A study has shown that the probability distribution of X, the number of customers in line (including the one being served, if any) at a checkout counter.
Construct a 95% confidence interval for the mean monthly rent of all advertised one-bedroom apartments. A 95% confidence interval for the mean monthly rent is?
Conduct a hypothesis test to determine if the mean length of jail time has increased. The distribution of the population is normal.
A silver dollar is flipped twice, calculate the probability of each of the following occurring
A randomly selected sample of n = 60 individuals over 65 years old takes a test of memorization skills. The sample mean is x‾= 53, and the standard deviation is σ = 7.2. Give the numerical value of the standard error of the mean.
Do you have enough evidence to support your hypothesis that the average ER wait time exceeds 10 minutes? You opt to conduct the test at a 5% level of significance.
A central university has a student population of 60,000. The university is interested in determining what proportion of them is in favour of a new grading system.
the mean gross incomes of certified welders are normally distributed with the mean of 20000 and a standard deviation of
complete the following hypothesis test ho ? 52 ha ? lt 52 ? 0.01 using the data below.55 47 58 55 39
Create a spreadsheet with the spam botnet data using the actual values. In other words, for Srizbi use 315,000 for the number of bots and 60,000,000,000
hat is the risk of performing the t-test using pooled variance, if the variances between the 2 samples are actually unequal?
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