Friday

August 22, 2014

August 22, 2014

Posted by **badar** on Monday, December 26, 2011 at 10:25am.

a. Construct a 99% confidence interval for the difference between the mean times spent watching television by all high school students and all college students.

b. Test at the 2.5% significance level if the mean time spent watching television per day by high school students is higher than the mean time spent watching television by college students.

- statistics -
**PsyDAG**, Monday, December 26, 2011 at 2:06pmZ = (mean1 - mean2)/standard error (SE) of difference between means

SEdiff = √(SEmean1^2 + SEmean2^2)

SEm = SD/√n

If only one SD is provided, you can use just that to determine SEdiff.

Find table in the back of your statistics text labeled something like "areas under normal distribution" to find the proportion related to the Z score.

**Related Questions**

statistics - To determine how many hours per week freshmen college students ...

Statistics - A student group claims that first-year students at a university ...

Statistics - The average amount of time people spend on facebook each day is 71 ...

Statistics - The American Academy of Pediatrics (AAP) recommends that kids 2-5 ...

Statistics - 28. A group of statistics students decided to conduct a survey at ...

statistics - A student claims the average amount of time spent studying for an ...

statistics - A random sample of size 81 is taken from a large population, ...

statistics - 1. A random sample of size 49 is taken from a large population, ...

Statistics - The average time a visitor spends at the Renzie Park Art Exhibit is...

statistics - An accounting firm is planning for the next tax preparation season...