An online stock trading company makes part of their revenue from clients when the clients trade stocks therefore, it is important to the company to have an good idea of how many trades its clients are making in a given year. In a sample of 120 clients of an online stock trading company, the average number of trades per year was 82 with a standard deviation of 16. If you were to test the hypothesis that the average number of trades per year is different than the previous year when the average number of trades was 85 (using the 10% level of significance), the test statistic is -2.05 and the critical value is ± 1.65 . What is your conclusion concerning the null hypothesis? Reject the null hypothesis Fail to reject the null hypothesis

Name: An online stock trading company makes part of their revenue from clien
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Description: An online stock trading company makes part of their revenue from clients when the clients trade stocks therefore, it is important to the company to have an good idea of how many trades its clients are making in a given year. In a sample of 120 client

In the given problem we have, n = sample size = 120 The average number of trades per year was 82…

Answered: An online stock trading company makes…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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An online stock trading company makes part of their revenue from clients when the clients trade stocks therefore, it is important to the company to have an good idea of how many trades its clients are making in a given year. In a sample of 120 clients of an online stock trading company, the average number of trades per year was 82 with a standard deviation of 16. If you were to test the hypothesis that the average number of trades per year is different than the previous year when the average number of trades was 85 (using the 10% level of significance), the test statistic is -2.05 and the critical value is ± 1.65 . What is your conclusion concerning the null hypothesis?

Reject the null hypothesis

Fail to reject the null hypothesis

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