A researcher wondered if the currently-believed global male-births proportion value of approximately p = 51.2% is still correct. The researcher decided to perform a two- sided significance test, and in advance, chose a significance-level of 1%. The researcher then randomly sampled the reported birth-sex information for 1000 recent global births, and found that exactly 551 of these babies were reported to be males. Which of the following are correct statements about the conclusions found from this test? (Select all that apply. To be marked correct: All of the correct selections must be made, with no incorrect selections.) The researcher fails to reject the null hypothesis. The researcher rejects the null hypothesis, in favor of the two-sided alternative. The evidence was not statistically significant. The evidence was statistically significant.

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The evidence was statistically significant.
3.
If the researcher had chosen a significance-level of 2% (instead of 1%), then the
test conclusion would have been different from the conclusion actually found.
If the researcher had chosen a significance-level of 0.5% (instead of 1%),
then the test conclusion would have been different from the conclusion actually
found.
If the number of boy babies in the researcher's random saple had been 560
(instead of 551), then the test conclusion would have been different from the
conclusion actually found.
OIf the number of boy babies in the researcher's random sample had been 477
(instead of 551), then the test conclusion would have been different from the
conclusion actually found.
Transcribed Image Text:The evidence was statistically significant. 3. If the researcher had chosen a significance-level of 2% (instead of 1%), then the test conclusion would have been different from the conclusion actually found. If the researcher had chosen a significance-level of 0.5% (instead of 1%), then the test conclusion would have been different from the conclusion actually found. If the number of boy babies in the researcher's random saple had been 560 (instead of 551), then the test conclusion would have been different from the conclusion actually found. OIf the number of boy babies in the researcher's random sample had been 477 (instead of 551), then the test conclusion would have been different from the conclusion actually found.
A researcher wondered if the currently-believed global male-births proportion value
of approximately p = 51.2% is still correct. The researcher decided to perform a two-
sided significance test, and in advance, chose a significance-level of 1%. The
researcher then randomly sampled the reported birth-sex information for 1000
recent global births, and found that exactly 551 of these babies were reported to be
males.
Which of the following are correct statements about the conclusions found from this
test?
(Select all that apply. To be marked correct: All of the correct selections must be
made, with no incorrect selections.)
The researcher fails to reject the null hypothesis.
The researcher rejects the null hypothesis, in favor of the two-sided alternative.
The evidence was not statistically significant.
The evidence was statistically significant.
Transcribed Image Text:A researcher wondered if the currently-believed global male-births proportion value of approximately p = 51.2% is still correct. The researcher decided to perform a two- sided significance test, and in advance, chose a significance-level of 1%. The researcher then randomly sampled the reported birth-sex information for 1000 recent global births, and found that exactly 551 of these babies were reported to be males. Which of the following are correct statements about the conclusions found from this test? (Select all that apply. To be marked correct: All of the correct selections must be made, with no incorrect selections.) The researcher fails to reject the null hypothesis. The researcher rejects the null hypothesis, in favor of the two-sided alternative. The evidence was not statistically significant. The evidence was statistically significant.
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