Part ii: true/false correct any false statements. 2. a confidence interval widens as its confidence level increases. 3. a confidence interval widens as its sample size increases. 4. confidence levels refer to the probability that the interval will capture the true parameter in repeated samples. they are not the likelihood that particular intervals contain the true parameter. 5. one-sided hypothesis tests are used when we are stating that a parameter is larger than the null hypothesis value. 6. when the p-value > , there is enough evidence to reject the null hypothesis. 7. not having enough evidence to reject the null hypothesis and concluding that the null hypothesis is true are equivalent statements.

i'm not sure what you mean but in todays world there is a lot of women that are the bread winners in the family. there is a lot more single mothers now that are going back to get an education which is boosting the economy. i believe there has been a boost in the economy due to women the cosmetic industry is boosting, chemist, the sky is becoming the limit for women in todays economy. most women are also putting off having kids just to make sure they have a education. i don't know how these two relate though to scriptures because it's not the way the lord wanted it. the man is suppose to be the bread winner and due to social media and the easy access we have there is a lot of cheating going on.

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ok

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answer: .75 km

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