Activity 2 Prob

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Oxford University *

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BA501

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Business

Date

Nov 24, 2024

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3

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1 Activity 2 Student Name University Affiliation Professor Date of Submission
2 Questions Question 1 1. What is the empirically testable conclusion resulting from your deductive reasoning? According to the test, there is a probability of a distribution of 50% of correct in time through roughly a 25% likelihood, while 5% of the stocks were accurate. Hence, the stockbroker is correct and has a higher chance of picking five correct outcomes. 2. How could you test your empirically testable conclusion using a data sample? We have about five accurate selections of the ten when the picks are totaled. Hence, the assumption is tested by tracking the number of correct predictions developed over the year and the frequency of right decisions acquired monthly. We will then convert every frequency to a probability by dividing every frequency by the total number of frequencies. 3. 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 use a t-test to calculate the mean probability of the sample and then compare it to the population mean of 50% First, the null hypothesis, H 0, is that the stockbroker’s prediction is 50% correct or u = 0.5, whereas the alternative hypothesis, H 1, states that the stockbroker’s prediction is more than 50% or u > 0.5. Finally, I will use a one-tailed hypothesis and then conclude that the stockbroker does not guess if the t-stat is estimated to be higher than the t-value from the provided data in the table above.
3 References Mikalef, P., Pappas, I., Krogstie, J., & Pavlou, P. (2019). Big data and business analytics: A research agenda for realizing business value. Suoniemi, S., Meyer-Waarden, L., Munzel, A., Zablah, A. R., & Straub, D. (2020). Big data and firm performance: The roles of market-directed capabilities and business strategy. Information & Management , 57 (7), 103365.
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