Choco- Chippy Cookie Company has two different manufacturing plants. Company officials want to test whether each plant fills the bags with the same number of ounces. A random sample of cookie bags from plant A had a mean of 24.2 ounces in each bag. A random sample from plant B had a mean of 22.2 ounces. They randomized the data over 100 trials, and the difference of means for each trial is shown in the dot plot below. What can Choco-Chippy Cookie Company conclude from this study? a dot plot with the values of negative 2.5, negative 2.0, negative 1.5, negative 1.0, negative 0.5, 0.0, 0.5, 1, 1
http://assets.openstudy.com/updates/attachments/5373b0f8e4b0c1175e75baa3-summerns-1400091006581-09_00_g29_q01.jpg is this the dot plot?
yep!
Here are the answer options: The difference is significant because a difference of 2.0 is very likely. The difference is significant because a difference of 2.0 is not very likely. The difference is not significant because a difference of 2.0 is very likely. The difference is not significant because a difference of 2.0 is not very likely.
This question was asked before, but never answered it seems... hmmm
Lemme get someone who can answer it ^_^
@MARC
Let me see if he is on PA and if he is I will get him to log on.
Not currently online. But I will send him the link here, and he should answer before the day is over.
HIP HOP DONT STOP FLIP FLOP
@EvL
@EvL ( ͡° ͜ʖ ͡°)
Lenny. :P
It has to be either B or D, please hold as I find the best of the options.
I'd go with D but still not 100% sure :)
Should I choose D, then? I know you're not sure but I'd like to be as close to positive as possible
usually hes somewhat reliable, from what I can gather his answer is D :P
(he logged off so I answered for him ¯\_(ツ)_/¯)
Okay. Thank you!
As stated I'm around 85% sure it would be D. The difference would only be significant if 2.0 was likely.
At least that's what I understand from my research.
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