anyone know statistics??????/
i sure do
k i need help with my homework
heres the first question
A political strategy team collected some preliminary data from voters in a certain district. Using the data, they created a confidence interval for the proportion of voters in the district for their candidate, (39.30% to 53.15%). If they collected data from 344 voters altogether, compute the level of confidence they used when creating their interval. Show work.
can anyone help me with my statistic homework????????/
The key formula here is \[\hat p \pm {z_{1 - \alpha /2}}\sqrt {\frac{{\hat p(1 - \hat p)}}{n}} \]
would you be able to help me start it off?
i'm looking through my stats textbook so I do it right :p
ok
p hat is the mean of 39.3 and 53.15 p hat = (39.3+53.15)/2 = 46.225 The difference of 39.3 and 53.15 = 13.85 = \[{2 *z_{1 - \alpha /2}}\sqrt {\frac{{\hat p(1 - \hat p)}}{n}} \]
\[\sqrt {\frac{{\hat p(1 - \hat p)}}{n}} \] = Sqrt[.46225*(1-.46225)/344] = 0.0268812
.1385 / (2 * .0268812) = 2.57615 = \[{z_{1 - \alpha /2}}\]
2.57615 is the answer?
no
im confused
need to use that to solve for alpha
gotta find a calculator or table for that
i have a caluculator ti84
so the confidence is 98%?
I get 99.5%
i mean 99%
yeah sorry i got it...wow thanks so much
how do i get it on the calculator?
I think 99% is correct
i have another question...its about of this question...Can the political strategy team from part c conclude that their candidate will win or lose or what? Explain. Presume in this district, a simple majority will take the election.
i mean apart of the recent question
since the mean is below 50%, he'll probably lose
thanks for the help i was really stuck....if its not a bother would u be able to help me with another one...
The website www.project.org claims that in 2007, the average miles per gallon for cars in America was about 23. How do Cecil College drivers do compared to that benchmark? Do we differ? Your job is to investigate this claim for our drivers. a. Using the data collected from our StatCrunch survey, first print an appropriate graph, calculate the appropriate summary statistics and write a brief description of the distribution of miles per gallon for the cars in our sample. b. Run the appropriate hypothesis test. Points awarded for hypotheses, conditions, test statistic, P-value, decision, and conclusion. c. Give a 99% confidence interval to support your conclusion in part b. Interpret your interval.
where is the data?
i did a summary statistics and did a column statistics and my results were n=59, mean= 308.85593, variance 4712126, std. dev.= 2170.7432, std. err.= 282.6067
is that right? there was a column for mpg and that's what i put in for the summary
or if you want i can attach the file
i don't think the link is working
umm hold on...
Year Make Vehicle MPG 2009 Scion TC Car 25 2005 Honda Accord Car 24 2001 Toyota Celica Car 23 2001 Chevrolet Cavalier Car 27 2008 Mazda 3 Car 27 2007 Chevy Imapala Car 26 2007 Chevy Cobalt Car 25 2006 Pontiac Grand Am Car 23 2002 Suzuki Esteem Car 26 2008 kia,rio Car 29 2001 VW Passat Car 27 2003 Toyota Matrix Car 27 1995 Toyota Corolla Car 25 2006 Honda Civic Car 35 1998 Honda Accord Car 24 2001 Toyota camery Car 26 2011 Toyota Camry Car 30 2011 Mazda 2 Car 29.5 1996 Ford Crown Victoria Car 17 1997 Volkswagon Passat Car 42 1999 VW Jetta Car 37 2004 Toyota Carolla Car 33 2010 Altima Coupe Car 26 1999 GM Saturn Car 29 2011 Hyundai Genesis Coup Car 26 2011 Nissan Altima Car 27 1999 Dodge Stratus Car 22 2008 Pontiac G6 Car 21.5 2003 Chevrolet Impala Car 26.5 1997 Subaru Impreza Car 23 2008 Ford Focus Car 38 2004 Chevrolet cavalier Car 25 2001 Oldsmobile Alero Car 27 2003 Honda Civic Car 30 2001 Olds Mobile Alero Car 26 2011 Chevy Aveo Car 31 2010 Mazda 3 Car 33 2008 Dodge Caliber Car 24 2010 Ford Focus Car 33 2000 Oldsmobile Intrigue Car 28 2003 Ford Mustang Car 18 2003 Ford Taurus Car 20 1996 Pontiac Grand Prix SE Car 21 2001 nissan sentra Car 24 2004 Dodge Stratus Car 18 2010 Dodge Avenger Car 25.5 2000 Mazda Milennia Car 20 1999 Chrysler 300m Car 22.5 2000 Toyota Celica Car 27 2006 Ford Mustang Car 19 2003 Chevy Cavalier Car 30 2005 Honda Accord Car 30 2002 Honda Civic Car 30 2001 VW Car 27 2007 Honda civic Car 24 2002 Mitsiubishi, lancer Car 16 2004 Honda Accord Car 16700 2001 Chrysler Pt Cruiser Car 24 2007 Mazda r3 Car 23 FOR 16700 my professor said used my best judgement but i am confused why this number was so big...which 16700 in a car is impossible
it's got to be a type, or he wants you to throw it out
typo
i dont know maybe he said use my best judgement and i dont want to make up a number.. i dont know he doesnt explain much at all to his students
dcrose are you having trouble with the numbers
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