HELPPP A random sample of 145 students is chosen from a population of 4,250 students. If the mean IQ in the sample is 130 with a standard deviation of 7, what is the 90% confidence interval for the students' mean IQ score? 98.98−101.02 109−112. 125−135 129.82−130.18
Were you able to get started?
I don't fully understand what standard deviation means
it's the measure of spread it tells you how dispersed the distribution is
a larger standard deviation means the values are more spread out and further away from the mean
a smaller standard deviation tells us that the values are more closely clustered near the mean
So where should I start?
you need the critical value for the 90% confidence level
to find that, use this table http://3.bp.blogspot.com/_5u1UHojRiJk/TEdJJc6of2I/AAAAAAAAAIE/Ai0MW5VgIhg/s1600/t-table.jpg
look in the row that starts with infinity and look in the column that corresponds to 90% confidence level
1.895
look in the bottom most row (it starts with infinity)
Oh okay
this is a t table so it works for small samples but for larger samples, things tend to approach the normal distribution
for 90,it says 1.645
good
that's the value of z
z = 1.645
now use the formula L = xbar - z*s/sqrt(n) to compute the lower bound of the confidence interval
L = lower bound xbar = mean z = critical value s = standard deviation n = sample size
okay
wait,whats the lower bound?
the lower bound is the left piece of the confidence interval
i got 6.196
ok let me check
okay
sorry I made a mistake, but I know how to fix it, one sec
okay
Can you help me on another question after as well
I'm getting close to one answer choice, but I'm off a bit in terms of the decimal portion
Okay,I dont mind waiting.I need the help
can you double check to make sure everything is typed correctly I think there's a typo somewhere, but I'm not sure
Yeah its correct
ok, well this is what I'm getting 130 - 1.645*7/sqrt(145) = 129.043731299484 and as you can see, it's not 129.82. Not even close.
When I use the formula from this page http://canmedia.mcgrawhill.ca/college/olcsupport/bowerman/2ce/OptionalContent/bow02371_OLC_7_9.pdf see page 2 I get... 130 - (1.65*7/sqrt(145))*sqrt( (4250 - 145)/(4250) ) = 129.057329104168 a bit closer, but still not there
Thats the closest answer we have so I guess I will go with d
I also Need help on other questions if you can
I can do a few more
Sam is testing the effectiveness of a new cough medication. There are one hundred people with a cough in the study. Thirty patients received the cough medication and seventy other patients did not receive treatment. Seventeen of the patients who received the medication reported no cough at the end of the study. Twenty-eight of the patients who did not receive medication reported no cough at the end of the study. What is the probability that a patient chosen at random from this study took the medication, given that they reported no cough?
For problems like these, I like to set up a probability tree |dw:1399871821124:dw|
Thirty patients (out of 100) received the cough medication, so 30/100 = 0.3 is the probability someone gets the medicine 1 - 0.3 = 0.7is the probability you don't get the medicine
|dw:1399871951867:dw|
"Seventeen of the patients who received the medication reported no cough at the end of the study" so 17/30 = 0.567 is the approximate probability for the upper most branch 1 - 0.567 = 0.433 is for the branch below that |dw:1399872014645:dw|
I get it so far
oh sry, i mixed up the two branches
|dw:1399872146650:dw|
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