A spa owner gives a survey to all of her customers asking them to rate the quality of the service they received. She then keeps track of how many customers return to the spa for additional services during the next six months. Last year, the results showed that of the customers who reported high quality service, 15% returned for additional services. What conclusion can be drawn from this study?
High quality services cause customers to return for additional services. Customers who will return for additional services report a high quality of service. Some customers who rate their service as high quality return for additional services. Most customers who rate their service as high quality return for additional services.
I give medals
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is this stats? I don't do stats problems sorry
naw this is alg 2
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third one
i kind off wanted an explantion
of*
you should start by ruling out the obviously incorrect choices. customers who reported high quality service, 15% returned that means some customers reported high quality (we don't know how many or what percent) of these, 15% returned. that means a small number returned.
yes but it could be the 2nd one?
First choice High quality services cause customers to return for additional services. this seems wrong. 1) 15% returning is not a very big number...
i figured that part out
I will let phi explain
im deciding between the 2nd and 3rd one
Customers who will return for additional services report a high quality of service. 1) we don't know this. 2) 85% of the people who returned did *not* originally rate the store high quality. There is no reason to think they will after they return.
Some customers who rate their service as high quality return for additional services. this is true. 15% qualifies as "some"
yes we do because it says "of the customers who rated the service as high quality:"
Most customers who rate their service as high quality return for additional services. clearly false. only 15% return and that is not most.
well i was already leaning towards that response but could u help with another one
the 3rd one ,not the stupid one
Carter wants to know if warming up will help runners sprint faster. Thirty track and field athletes volunteered to participate in his study. He randomly assigns 15 athletes to warm-up for 10 minutes. All 30 participants sprint the same distance. She calculates the mean for each group and determines that the mean for the warm-up group was 10.7 seconds and the mean for the other group was 13.2 seconds. To test the difference of means, he re-randomized the data 54 times and the differences are plotted in the dot plot below. What can Carter conclude from his study?
The difference in the means is significant because a difference of 2.5 is very likely. The difference in the means is not significant because a difference of 2.5 is very likely. The difference in the means is significant because a difference of 2.5 is not very likely. The difference in the means is not significant because a difference of 2.5 is not very likely.
im still here mate
I think we need to look at the plot
what plot?
it says ***and the differences are plotted in the dot plot below. ****
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