Part 1: to be completed in Excel® You administer Human Relations for your company. One of your sales managers has retired, abrogation an opening. You are because two altered advisers for the position. Both are awful qualified, so you accept absitively to appraise their sales achievement for the accomplished year. Using the Week 4 Abstracts Set, actualize and account the afterward in Excel®: Determine the ambit of ethics in which you would apprehend to acquisition the boilerplate account sales for the absolute sales force in your aggregation 90% of the time, and account the following: The appulse of accretion the aplomb akin to 95% The appulse of accretion the sample admeasurement to 150, bold the aforementioned beggarly and accepted deviation, but acceptance the aplomb akin to abide at 90% Based on the affected aplomb breach for account sales on the sample of 50 reps at a 90% aplomb level, account the following: Both reps' boilerplate account performance, highlighting if it is greater than the citizenry mean In adjustment to adjudge who to promote, actuate whether there is a statistically altered boilerplate account sales amid Sales Rep A and Sales Rep B by accomplishing the following: Create absent and another antecedent statements that would acquiesce you to actuate whether their sales achievement is statistically altered or not. Use a acceptation akin of .05 to conduct a t-test of absolute samples to analyze the boilerplate account sales of the two candidates. Calculate the p-value. Considering the alone you did not promote, do the following: Determine whether this person's boilerplate account sales are greater than the boilerplate account sales for the 50 sales reps whose abstracts you acclimated to advance aplomb intervals. Create absent and another antecedent statements that would acquiesce you to actuate whether this person's account boilerplate sales are greater than the sample of Sales Reps. Use a acceptation akin of .05 to conduct a t-test of absolute samples to analyze the boilerplate account sales of both. Calculate the p-value.

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