In: Statistics and Probability
1.) A recent survey showed that high school girls average 110 text messages daily. The population standard deviation is 25 text messages. 1 In repeated samples of size n = 64 high school girls, the expected value of the sample mean is,
a 1.719 b 10.488 c 13.75 d 110
2.) In repeated samples of size n = 64 high school girls, the standard error of the sample mean is,
a 25 b 5 c 3.125 d 0.391
3.) In repeated samples of size n = 64 high school girls, the fraction of sample means that fall within ±5 messages from the population mean is,
a 0.8904 b 0.9260 c 0.9538 d 0.9824
4.) The margin of error for the middle interval which includes 95% of means from samples of size n = 64 is,
a 5.763 b 5.941 c 6.125 d 6.248
n = 64
According to central limit theorem, if sample size n is large (n>30) then sampling distribution of sample mean is approximately normally distributed with mean = and standard deviation =
1) Expected value of sample mean =
Expected value of sample mean =110
2) Standard error of sample mean
= 3.125
Standard error of sample mean is 3.125
3) Here we have to find (add and subtract 5 from population mean 110)
= P(z < 1.6) - P(z < -1.6)
= 0.9452 - 0.0548 (From statistical table of z values)
= 0.8904
In repeated samples of size n = 64 high school girls, the fraction of sample means that fall within ±5 messages from the population mean is 0.8904
4) Margin of error (E):
Confidence level = c = 0.95
Where zc is z critical value for (1+c)/2 = (1+0.95)/2 = 0.975 is 1.96 (From statistical table of z values)
E = 1.96 * 3.125
= 6.125
Margin of error = 6.125