Normal distribution with random sampling problem. Screenshot attached.
Since the problem states that this scenario follows a normal distribution, then the first I thing I did was standardize \(\bar{X}\) Standardization: \[\huge Z=\frac{ \bar{X}-\mu }{ \frac{ \sigma }{ \sqrt{n}} }\] After standardizing, I got:\[P(-0.08 \le Z \le 0.08)\]However when I plugged in \(\Phi (0.08)- \Phi (-0.08)\) from the standard normal distribution tables, I got the wrong answer.
could you try these once a) 0.5763 b) 0.2119
The first one was correct! But b). was not
How about these a) 0.5763 b) 0.1587
Yup! That one's good now
there is an arithmetic error in your work : \(P(-0.08 \le Z \le 0.08)\) should be changed to \(P(-0.8 \le Z \le 0.8)\)
Interesting. Oops :) At least I had the right process -- I thought I was going crazy for getting this wrong! X) Thanks!
Happens :) btw, you may use wolfram for these calculations
http://www.wolframalpha.com/input/?i=P%28-0.01%2F%280.05%2F4%29%3CX%3C0.01%2F%280.05%2F4%29%29
Ah, I'll do that! Thanks!
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