In: Statistics and Probability
Waterfall Heights Is there a significant difference at
=α0.10
in the mean heights in feet of waterfalls in Europe and the ones in Asia? The data are shown. Use the critical value method with tables.
Europe | Asia | ||||
---|---|---|---|---|---|
487 |
1246 |
614 |
320 |
||
470 |
345 |
350 |
964 |
||
900 |
722 |
830 |
Send data to Excel |
Use
μ1
for the mean height of waterfalls in Europe. Assume the variables are normally distributed and the variances are unequal.
Find the critical value(s). Round the answer(s) to three decimal places. If there is more than one critical value, separate them with commas.
Critical value(s): |
i am using excel to solve the problem.
steps:-
copy the data in two columns of excel named Europe and
Asiadata
data analysis
t-Test:
Two-Sample Assuming Unequal Variances
ok
in variable 1 range select the entire data set of Europe and in
variable 2 range select the entire data set of Asia including
labels
in hypothesized mean difference type 0
tick
labels
in alpha type 0.1
in
output options select new worksheet ply
ok
the needed excel output be:-
t-Test: Two-Sample Assuming Unequal Variances | ||
Europe | Asia | |
Mean | 593.6 | 633.3333 |
Variance | 235171.3 | 66941.87 |
Observations | 5 | 6 |
Hypothesized Mean Difference | 0 | |
df | 6 | |
t Stat | -0.16471 | |
P(T<=t) one-tail | 0.43729 | |
t Critical one-tail | 1.439756 | |
P(T<=t) two-tail | 0.874579 | |
t Critical two-tail | 1.94318 |
SOLUTION TO PROBLEM:
hypothesis:-
test statistic is:-
[ from the excel output writing the t stat value by rounding off to
3 decimal places]
t critical value for alpha=0.10 is:-
[ as this is a both tailed test. from the excel output write the t Critical two-tail and add + - before it ]
decision:-
so, we fail to reject the null hypothesis and conclude that there is not sufficient evidence to say that there is a significant difference in the mean heights in feet of waterfalls in Europe and the ones in Asia at 0.10 level of significance.
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