A company offered one half of its employees a bonus if the production of gears increased by 50%. The other half of the employees was not offered a bonus. As the end of the month, production in the group that did not get the bonus offer increased by a mean of 20 and production in the bonus group increased by a mean of 40. What is the correct order of steps to determine if the results are significant? A: Calculate the probability of a difference of 20. B: Randomly separate the employees’ individual results into two groups. C: Calculate the mean of each group.
D: Calculate the difference of the means. E: Run the experiment many times.
B, C, E, A, D A, B, C, E, D B, C, D, E, A A, B, C, D, E
@jim_thompson5910 , i think it's "A"
B, C, E, A, D implies that you calculate the probability of getting a difference of 20 and then calculate the difference in the means next. But how can you find the probability of something that isn't set up yet?
so we need to calculate the difference of the mean first? which is "C''
yeah B, C, D, E, A makes more sense
Essentially what is going on is you're making a bunch of calculations of xbar1 - xbar2. Call these differences \(\large d_i\) each difference is then used to create a distribution and you'll determine how likely it is to get a difference of 20 based on this distribution
oh ok , thank you so much. i have one last question if you don't mind.
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