In a simple random sample of 219 students at a college, 73 reported that they have at least $1000 of credit card debt. What is the 99% confidence interval for the percent of all the students at that college who have at least $1000 in credit card debt? (Points : 3) (25.0, 41.6) (27.5, 39.1) (30.1, 36.5) (31.0, 35.6)
i need help with how to solve this step by step
thats a waste of own bucks
owl
any ideas?
I'm sorry I don't know your answer. Please wait, I ask to another tutor
@CGGURUMANJUNATH can you help here please?
thank you
Hi there :)
Are you familiar with how to use Z tables
you need to first identity, what Z score gives you a 99% confidence interval
2.567?
sounds about right, ill have to check myself too but, now whats left for you is to find the true standard deviation
dan can you help me on a question after this plz
I'm getting stuck at 73 +- 28.8
the ratio 73/219 is the sample percentage that have atleast 1000 dollars of debt 73/219 = 33.33%
that mean is the same for the actual distribution as well
you will be using the formula 33.33 +- (2.57*sigma) you need to find the sigma which is the true standard deiviation
also if you notice the choices given to you the middle values are all 33.33 in that range
(25.0 + 41.6)/2 =33.33 (27.5 + 39.1)/2=33.33 (30.1 + 36.5)/2 = 33.33 (31.0, + 35.6)/2 = 33.33
~clapping~
B?
uhh wait im thinking how to get the true STD from a mean and sample size
:s
so would the answer be B?
Show me some of your work, maybe ill see if it makes sense at least
the answer is A
Ok in order to find the sample standard deviation we need to realize that we are using proportions here. Since the answer gives the percentage as a whole number for computational sake we will do the same. p=73/219 =33% q=(1-p)=1-33=67% We know that our sample standard dev is \( \sqrt{ \frac{p*q}{n}}\) So S=\( \sqrt{ \frac{33*67}{216}}=3.17\) Therefore our confidence interval is \( 33.33 \pm 2.58*3.17 \to (25.15,41.5)\)
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