In one of your classes, the professor told you that average GDP among industrialized
countries is $14,200 (14.2 in $1000s). You believe the information your professor has
is incorrect and outdated, so you decide to collect your own data. The results of a
sample reveal that the average GDP per capita (in $1000s) among 123 industrialized
countries is calculated to be 13.6 with a standard error of .45.
(a) If you hypothesize that your professor is incorrect and that average GDP per
capita among industrialized countries is
not
$14,200, write out the appropriate
null and alternative hypotheses.
(b) Calculate a 90% confidence interval. Based on the results, would you reject or
accept the null hypothesis?
(c) Based on the values above, the test statistic is -.51. Using a two-tailed test of
significance and an
α
of .05, can you reject the null hypothesis? Also, calculate
the corresponding p-value and interpret.
(a) Hypothesis : Vs
(b) The 90% confidence interval is ,
i.e. ($12718 , $14782)
Here , the value lies in the 90% confidence interval
Therefore , accept the null hypothesis.
(c) P-value =
Decision : Here , P-value > 0.05
Therefore , accept the null hypothesis
Interpretation : Hence , there is not sufficient evidence to conclude that the average GDP per capita among industrialized countries is not equals to $14,200.
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