In a sample of 100 households, the mean number of hours spent on social networking sites during the month of January was 50 hours. In a much larger study, the standard deviation was determined to be 6 hours. Assume the population standard deviation is the same. What is the 98% confidence interval for the mean hours devoted to social networking in January?
The 98% confidence interval ranges from 6 to 50 hours. The 98% confidence interval ranges from 48.60 to 51.40 hours. The 98% confidence interval ranges from 49.40 to 50.60 hours. The 98% confidence interval ranges from 50 to 52 hours.
I think you would want to find what z-value yields a 98% chance to be between +z and -z.
i don't understand
nevermind doesn't look like that will work.
so how do i do this
doing some research now, my initial thought was to find what z-interval corresponds to 98% and then add and subtract that many copys of the standard deviation, but none of you answers are close to that answer.
That would have been 2.33 standard deviations around the mean of 50 or 50+-14
still not understanding
did you find the critical value ?
idk how to do any of this
ok I found according to one source you should use the mean +- the t value times the standard deviation divided by the square root of n.
so what is n
\[\bar x \pm \frac{ t*s }{\sqrt(n) }\]
and what is the t value times
n is the 100 people
s is the standard deviation
and t comes from a table based on the degrees of freedom and confidence interval
I'm very confused lol
Ok does your text have a t-table in it?
I looked online and found for 100 df and 98% confidence interval a t value of 2.364
isn't it 2.327 ? :o
well let's see 2.364*6/10 is approx 1.4
Which would give the second answer.
48.6-51.4?
no t table
That is what I would guess
Sorry there are a lot of formulas in statistics, the hardest part is finding the appropriate one for the situation. But that is my best guess.
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