Activity 2 Business Analytics

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Management

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Nov 24, 2024

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1 Activity 2 Student Name University Affiliation Professor Date of Submission

2 Activity 2 What is the empirically testable conclusion resulting from your deductive reasoning? The table above shows that we have a distribution, which is about a 25% likelihood that the distribution is 50% accurate concerning its time. Therefore, five stocks are correct in every ten available stocks (Brynjolfsson & McElheran, 2019). Hence, we will state that the stockbroker has a 50% probability of being right and 50% wrong; therefore, the five correct picks possess a higher probability. How could you test your empirically testable conclusion using a data sample? Testing the empirically testable utilizing the data sample is that estimation of the quantity of picks that the outcomes in an amount of five picks of the ten picks. A presumption is confirmed by following the number of accurate forecasts in about a year and monitoring the correct picks each month (Prince, 2023). Therefore, we will change the occurrence to the likelihood by isolating each of them by the number of frequencies. Outline the inductive and deductive reasoning you could use to evaluate whether or not the broker is simply guessing in her stock picks. I would calculate the sample mean and then contrast it with the population mean of 50% utilizing a t-test. Therefore, the null hypothesis H 0 is that the stockbroker is 50% right or u = 0.50, while the alternative hypothesis H 1 is that the stockbroker’s forecast is more significant than 0.5 or u > 0.50

3 References Brynjolfsson, E., & McElheran, K. (2019). Data in action: data-driven decision making and predictive analytics in US manufacturing. Rotman School of Management Working Paper , (3422397). Prince, J. (2023). Predictive Analytics for Business Strategy: Reasoning from data to actionable knowledge. Statistics .

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Activity 2 Business Analytics

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