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Mathematics 16 Online
OpenStudy (katecc379):

Based on these data, are "being female" and "earning over $50,000" independent events

OpenStudy (katecc379):

OpenStudy (evoker):

If independent probablity of both should equal probablity of first times the probability of the second.

OpenStudy (katecc379):

so they aren't ?

OpenStudy (evoker):

Well lets see in your case also could see if P(female)= P(female given earn 50,000)

OpenStudy (evoker):

so 450/1000 compared to 375/850

OpenStudy (katecc379):

45% and 44%

OpenStudy (katecc379):

so they are not equal

OpenStudy (evoker):

hmm close, but technically I guess we would say they aren't equal

OpenStudy (katecc379):

so d?

OpenStudy (evoker):

I would go with d, but if i got a second choice I would then try a.

OpenStudy (katecc379):

ok, could u help with a couple more?

OpenStudy (evoker):

Sure

OpenStudy (katecc379):

The grades on the last science exam had a mean of 89%. Assume the population of grades on science exams is known to be distributed normally, with a standard deviation of 14%. Approximately what percent of students earn a score between 75% and 89%? first of all is this 34.1

OpenStudy (evoker):

I believe so because that is from 1 sd below the mean to the mean.

OpenStudy (katecc379):

okay

OpenStudy (evoker):

I would say it is significant since the difference is unlikely

OpenStudy (katecc379):

Alice wants to prove to her parents that listening to music while she does her homework will help her get better grades. She decides to ask 25 of her friends if they listen to music while they do their homework and what their grades are. She finds that her friends who have high grades also listen to music while they do their homework. She tells her parents that she has proven that listening to music while doing homework will cause her grades to improve. What mistake has Alice made? She did not separate her friends into different groups, and she didn't apply a treatment. She did not separate her friends into different groups, and she used a survey to collect data. She did not use a random sample, and she tried to show cause and effect with an observational study. She did not use a random sample, and she tried to show cause and effect with an experiment. i picked c for this what do you think

OpenStudy (evoker):

I would lean towards that

OpenStudy (evoker):

She didn't have a control group

OpenStudy (evoker):

What grades did people get that didn't listen to music.

OpenStudy (evoker):

Be back in five minutes.

OpenStudy (katecc379):

okay

OpenStudy (katecc379):

Arlene is testing whether school is more enjoyable when students are making high grades. She asked 100 students if they enjoyed school and whether their GPA was above or below 3.0. She found that 30 of the 40 students with a GPA above 3.0 reported that they enjoyed school, and 15 of the 60 students with a GPA below 3.0 reported that they enjoyed school. What is the probability that a student with a GPA below 3.0 does not enjoy school? last one

OpenStudy (evoker):

ok back

OpenStudy (katecc379):

hey

OpenStudy (evoker):

Well looks like there were 60 asked and 15 said they did so I would say the rest didn't

OpenStudy (katecc379):

so just 15/60?

OpenStudy (evoker):

no the rest so 45/60

OpenStudy (katecc379):

ohh okay, do you have time to help with 4 free response?

OpenStudy (evoker):

I think so

OpenStudy (katecc379):

you rock!

OpenStudy (katecc379):

OpenStudy (evoker):

Ok similar to the problem you had earlier, if it is fair the probablility of being in the honor roll should be the same as the probability of being in the honor roll and being in the class requested.

OpenStudy (katecc379):

ok I'm just not sure what values to use for the ratios

OpenStudy (evoker):

Well for one the probability of being in honor roll in general which is 356/500

OpenStudy (katecc379):

so 71%

OpenStudy (evoker):

The other is looking at students that got the class they wanted and how many of them are honor roll

OpenStudy (evoker):

Yeah approx 71%, so the other will be 315/379

OpenStudy (katecc379):

so 83%

OpenStudy (evoker):

or approx 83%

OpenStudy (evoker):

Yeah those are fairly different so there may be some credence in saying you are more likely to get the class you want if you are in the honor roll.

OpenStudy (katecc379):

so then how would u answer the question ?

OpenStudy (evoker):

Er what I just said

OpenStudy (katecc379):

did we ever see how many did not get the class they wanted?

OpenStudy (evoker):

No but if you wanted we could try that viewpoint also.

OpenStudy (katecc379):

i think thats what the question is asking for

OpenStudy (evoker):

Fairness could be looked at from either view point.

OpenStudy (katecc379):

like seeing if being on honor roll or not gets you the classes you request

OpenStudy (katecc379):

maybe i am wrong.

OpenStudy (evoker):

But if you wanted to go that way sure so once again, 71% were in the honor roll

OpenStudy (evoker):

of those who did not get the class they wanted what percent were in honor roll.

OpenStudy (katecc379):

64

OpenStudy (evoker):

I get 41/121 or 34%

OpenStudy (evoker):

So we could also say that fewer students got classes they didn't want if they were in the honor roll.

OpenStudy (evoker):

Again if the system was fair this should have been 71%

OpenStudy (katecc379):

OK cool

OpenStudy (katecc379):

want me to put new question in new thread?

OpenStudy (evoker):

I'm fine either way, if you have fellow students here may make it easier for them to find the problems.

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