Consider the following data on sleep deprivation rates of Californians and Oregonians. The proportion of California residents who reported insufficient rest or sleep during each of the preceding 30 days is 9.0%, while this proportion is 9.7% for Oregon residents. These data are based on simple random samples of 11,554 California and 4,693 Oregon residents. (Use a significance level of 0.05. Use Pca - Pos-) (a) Conduct a hypothesis test to determine if these data provide strong evidence that the rate of sleep deprivation is different for the two states. Check the relevant conditions. The sample is vy random and the sample represents less than vy 10% of all California and Oregon residents. Therefore whether or not one person in the sample reported insufficient rest or sleep is v independent of another. The success-failure condition is vv met since the number of successes and failures is greater than v 10. State the appropriate null and alternative hypotheses. O Ho: PCA S POR Ha: PcA > POR O Ho: PcA> POR Ha: PCA S POR O Ho: PCA - POR H: Pca POR O Ho: PcA* POR H: PcA = POR O Hạ: Pca S POR H: PCA + POR Calculate the test statistic and determine the p-value. (Round your test statistic to two decimal places and your p-value to four decimal places.) p-value =

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Z= and P-Value=

Consider the following data on sleep deprivation rates of Californians and Oregonians. The proportion of California residents who reported insufficient rest or sleep during each of the preceding 30 days is 9.0%, while this proportion is 9.7%
for Oregon residents. These data are based on simple random samples of 11,554 California and 4,693 Oregon residents. (Use a significance level of 0.05. Use pca - POR:)
(a) Conduct a hypothesis test to determine if these data provide strong evidence that the rate of sleep deprivation is different for the two states.
Check the relevant conditions.
The sample is
independent of another. The success-failure condition is
random and the sample represents less than
10% of all California and Oregon residents. Therefore whether or not one person in the sample reported insufficient rest or sleep is
met since the number of successes and failures is greater than v
10.
State the appropriate null and alternative hypotheses.
O Ho: P CA s POR
HAi PCA> POR
Hoi P CA> POR
HA: P CA S POR
O Ho: P CA = PoR
HA: PCA # POR
O Ho: P CA# PoR
HAi PCA = POR
O Ho: PCA S POR
HA: P CA+ POR
Calculate the test statistic and determine the p-value. (Round your test statistic to two decimal places and your p-value to four decimal places.)
Z =
p-value =
Transcribed Image Text:Consider the following data on sleep deprivation rates of Californians and Oregonians. The proportion of California residents who reported insufficient rest or sleep during each of the preceding 30 days is 9.0%, while this proportion is 9.7% for Oregon residents. These data are based on simple random samples of 11,554 California and 4,693 Oregon residents. (Use a significance level of 0.05. Use pca - POR:) (a) Conduct a hypothesis test to determine if these data provide strong evidence that the rate of sleep deprivation is different for the two states. Check the relevant conditions. The sample is independent of another. The success-failure condition is random and the sample represents less than 10% of all California and Oregon residents. Therefore whether or not one person in the sample reported insufficient rest or sleep is met since the number of successes and failures is greater than v 10. State the appropriate null and alternative hypotheses. O Ho: P CA s POR HAi PCA> POR Hoi P CA> POR HA: P CA S POR O Ho: P CA = PoR HA: PCA # POR O Ho: P CA# PoR HAi PCA = POR O Ho: PCA S POR HA: P CA+ POR Calculate the test statistic and determine the p-value. (Round your test statistic to two decimal places and your p-value to four decimal places.) Z = p-value =
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