A random number generator is supposed to produce random numbers that are uniformly distributed on the interval from 0 to 1. If this is true, the numbers generated come from a population with μμ = 0.5 and σσ = 0.2887. A command to generate 169 random numbers gives outcomes with mean x¯¯¯x¯ = 0.4366. Assume that the population σσ remains fixed. We want to test
H0:μ=0.5
Ha:μ≠0.5
(a) Calculate the value of the Z test statistic.
(b) Use Table C: is z significant at the 40% level (αα = 0.4)?
(Answer with "Yes/Y" or "No/N".)
(c) Use Table C: is z significant at the 0.1% level (αα = 0.001)?
(Answer with "Yes/Y" or "No/N".)
(d) Between which two Normal critical values z∗z∗ in the bottom row
of Table C does the absolute value of zz lie? Between what two
numbers does the P - value lie?
(e) Does the test give good evidence against the null hypothesis?
(Answer with "Yes/Y" or "No/N".)
(a)
(b)
(c)
(d) zz: between and
P-value: between and
(e)
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