You have a SRS of 15 ?(?,?) distributed observations (where ? is
known but ? is not). You conduct a test of ?0:?=10 vs.
?A:?<10. You compute a test statistic value of ?=2.4.
Using only the 68-95-99.7 rule (i.e., not the qnorm() function or
tables) and a sketch of an appropriate density curve (with
informative labels and shading), give an approximate value for the
p-value (i.e., find values ? and ? such that that ?< p-value
<?).
for this pair of hypothesis ?0:?=10 vs. ?A:?<10. ( this is left one-tailed test )
the observed z=2.4 and corresponding p-value=0.0082
0.001<p-value<0.0001
a=0.001 and b=0.0001
Using only the 68-95-99.7 rule, for approximately normal data set, the values within one standard deviation of the mean account for about 68%(A) of the set; while within two standard deviations account for about 95% (B); and within three standard deviations account for about 99.7%(C)..
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