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Mathematics 6 Online
OpenStudy (anonymous):

National Fuelsaver Corporation manufactures the Platinum Gasaver, a device they claim "may increase gas mileage by 22%." Here are the percent changes in gas mileage for 15 identical vehicles, as presented in one of the company's advertisements: 48.3 46.9 46.8 44.6 40.2 38.5 34.6 33.7 28.7 28.7 24.8 10.8 10.4 6.9 -12.4 Would you recommend use of a t confidence interval to estimate the mean fuel savings in the population of all such vehicles? Explain your answer.

OpenStudy (anonymous):

@amistre64

OpenStudy (amistre64):

there is usually a table defining a path to take that ends up in z, t, or bootstrapping

OpenStudy (anonymous):

how do i find that?

OpenStudy (amistre64):

um, its in all the textbooks

OpenStudy (anonymous):

..

OpenStudy (amistre64):

im looking in my textbook :) i believe if memory serves that if n<30 we go t

OpenStudy (anonymous):

Ok!

OpenStudy (amistre64):

the one i was thinking of had to do with: if sigma unknown, and data is normally distributed, use t statistic in place of z stats

OpenStudy (anonymous):

ok

OpenStudy (anonymous):

Would you recommend use of a t confidence interval to estimate the mean fuel savings in the population of all such vehicles? Explain your answer.

OpenStudy (amistre64):

my idea at the moment, maybe we should determine if the data presented is normally distributed or not

OpenStudy (anonymous):

Ok, how would i do that

OpenStudy (amistre64):

a stem and leaf is a simple way to see if it is; the outline of the leafs will mimic a histogram

OpenStudy (anonymous):

can u show?

OpenStudy (amistre64):

you were already shown this process way back in other chapters .....

OpenStudy (amistre64):

cut off the first digit and stack the rest in rows or columns

OpenStudy (anonymous):

i never learned

OpenStudy (anonymous):

48.3 46.9 46.8 44.6 40.2 38.5 34.6 33.7 28.7 28.7 24.8 10.8 10.4 6.9 -12.4 these are the numbers so

OpenStudy (amistre64):

spose we have a set of number 23 25 27 23 29 21, the stem is the 20 parts, and the leafs are the ones 2 | 1 3 3 5 7 9

OpenStudy (anonymous):

Oh ya i know how to do that

OpenStudy (anonymous):

what do i do with the negative value tho ? the -12.4

OpenStudy (amistre64):

place it on the other side of a 0 :)

OpenStudy (amistre64):

-1| 0| 1| 2| 3| 4| 5|

OpenStudy (anonymous):

-1| 2 0| 1| 2| 4.8 3| 4| 5|

OpenStudy (amistre64):

you can make columns instead .. but thats difficult to format up on here

OpenStudy (anonymous):

on the right track?^

OpenStudy (amistre64):

thats on the right track yes :) but -1|2.4

OpenStudy (amistre64):

for simplicity, the numbers dont really have to be in order ... just stacked in the right row is all

OpenStudy (anonymous):

oh ok

OpenStudy (amistre64):

its the shape that we are after

OpenStudy (amistre64):

..and if anyone else looking in here has a better solution to this post, feel free to chime in :)

OpenStudy (anonymous):

-1| 2.4 0| 1| 0.4 0.8 2| 4.8 8.7 3| 3.7 4.6 8.5 4| 0.2 6.4 6.8 6.9 8.3 5| 6| .9

OpenStudy (anonymous):

is that right.. it hard to do here

OpenStudy (amistre64):

that 6.9 should be seen as 06.9 since we are cutting off the ten spots

OpenStudy (anonymous):

ok how should the end table look ?

OpenStudy (amistre64):

-1| 2.4 0| 6.9 1| 0.4 0.8 2| 4.8 8.7 8.7 3| 3.7 4.6 8.5 4| 0.2 6.8 6.9 8.3 4.6 thats seems about right

OpenStudy (anonymous):

ok cool thx

OpenStudy (amistre64):

from the looks of this data, its skewed, and not normally distributed

OpenStudy (anonymous):

So that ould be my answer?^

OpenStudy (anonymous):

--> The data appears to be skewed, and NOT normally distributed.

OpenStudy (amistre64):

correct, and im trying to recall if the t statistic is related to the population, or the sample distribution at the moment

OpenStudy (anonymous):

thx!

OpenStudy (anonymous):

i have one more prob im posting now, can u look ?:P

OpenStudy (amistre64):

i found the chart in my book :) is sigma known? No. Is the pop normally distibuted? If yes, t stat If no, check n size dunno? id conservatively go with no is n>30? no use nonparametric of boot strapping methods then

OpenStudy (amistre64):

that would personally be my "reasoning"

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