A study showed that the sex ratio of children born to families in a native community of Ontario deviated significantly from th continental average ratio. A newspaper report about this study claimed that "there was only a 1-percent probability that the results were due to chance." Determine what the result likely represents and how you can rewrite the statement from the report so that it still be correct. The study probably reported a P-value of 0.01. The probability that the observed difference between the sex ratios deviates from the true difference is 0.01. The study probably reported a Type II error rate of 0.01. If the null hypothesis were false, the researchers would fail to reiect it nmistakenly one time in 100
A study showed that the sex ratio of children born to families in a native community of Ontario deviated significantly from th continental average ratio. A newspaper report about this study claimed that "there was only a 1-percent probability that the results were due to chance." Determine what the result likely represents and how you can rewrite the statement from the report so that it still be correct. The study probably reported a P-value of 0.01. The probability that the observed difference between the sex ratios deviates from the true difference is 0.01. The study probably reported a Type II error rate of 0.01. If the null hypothesis were false, the researchers would fail to reiect it nmistakenly one time in 100
Chapter8: Sequences, Series,and Probability
Section8.7: Probability
Problem 11ECP: A manufacturer has determined that a machine averages one faulty unit for every 500 it produces....
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Transcribed Image Text:A study showed that the sex ratio of children born to families in a native community of Ontario deviated significantly from the
continental average ratio. A newspaper report about this study claimed that "there was only a 1-percent probability that the
results were due to chance."
Determine what the result likely represents and how you can rewrite the statement from the report so that it still be correct.
O The study probably reported a P-value of 0.01. The probability that the observed difference between the sex ratios
deviates from the true difference is 0.01.
The study probably reported a Type II error rate of 0.01. If the null hypothesis were false, the researchers would fail to
reject it mistakenly one time in 100.
The study probably reported a Type I error rate of 0.01. If the null hypothesis were true, the researchers would reject it
mistakenly one time in 100.
O The study probably reported a P-value of 0.01. Under the null hypothesis, the probability is 0.01 of obtaining a sex ratio
as different (or more different) from the continental average as that observed.
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