The grades on the last history exam had a mean of 80%. Assume the population of grades on history exams is known to be normally distributed with a standard deviation of 5%. What percent of students earn a score between 70% and 80%?
A. 0.022 B. 0.477 C. 0.50 D. 0.522
Please help!!
do you have a TI-83 or TI-84 calculator?
no
Can you walk me through it?
ok let me find one
ok so here is one calculator you can use http://www.mathportal.org/calculators/statistics-calculator/normal-distribution-calculator.php you type 80 in the \(\Large \mu\) box for the mean type 5 for the \(\Large \sigma\) box (standard deviation) then you pick the option that has \(\Large P( \square <X < \square ) \) typing 70 and 80 in the two boxes (smaller number goes in the left box)
that calculator is really cool because you can click the checkbox "show explanation" and it gives you a nice visual step by step
Ahhh! Thank you so much! I had the formula, put didn't know what the symbols meant.
yeah it's probably a bit odd to see greek symbols being used \[\Large \mu = \text{mu}\] the "mu" is basically the greek letter m (well it's like the letter m in the latin alpabet) think M for Mean \[\Large \sigma = \text{sigma}\] "sigma" is closely linked to the letter S S for Standard deviation
mu and sigma here are the lower case greek forms
Ok, can you help with another similar to this one?
sure
In a study of 250 adults, the mean heart rate was 70 beats per minute. Assume the population of heart rates is known to be approximately normal with a standard deviation of 12 beats per minute. What is the 99% confidence interval for the mean beats per minute? A. 68.9-76.3 B. 70-72 C. 61.2-72.8 D. 68-72
what is the z critical value for the 99% confidence interval ?
2.576 I think
very good, since the solution to P( -k < X < k ) = 0.99 is roughly k = 2.576
the mean heart rate was 70 beats per minute so xbar = 70
"Assume the population of heart rates is known to be approximately normal with a standard deviation of 12 beats per minute" sigma = 12
"In a study of 250 adults" ---> n = 250
You will now use the formulas \[\Large L = \overline{ x} - z^{*} \frac{\sigma}{\sqrt{n}}\] \[\Large U = \overline{ x} + z^{*} \frac{\sigma}{\sqrt{n}}\]
\[\Large \overline{x} = 70\] \[\Large \sigma = 12\] \[\Large z^{*} \approx 2.576\] \[\Large n = 250\]
to get the confidence interval (L,U)
I got D, 68-72, is that right?
\[\Large L = \overline{ x} - z^{*} \frac{\sigma}{\sqrt{n}}\] \[\Large L = 70 - 2.576* \frac{12}{\sqrt{250}}\] \[\Large L = 68.04495\] \[\Large L = 68\] -------------------------------------------------- \[\Large U = \overline{ x} + z^{*} \frac{\sigma}{\sqrt{n}}\] \[\Large U = 70 + 2.576* \frac{12}{\sqrt{250}}\] \[\Large U = 71.95505\] \[\Large U = 72\] -------------------------------------------------- I agree, the confidence interval is roughly (L,U) = (68,72)
Thank you!! You have helped me so much!
I'm glad I could help out
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