QUESTION 11 If a hypothesis test with a significance level of \alpha rejects H0: \ mu 1 = \mu 2 in favor of Ha: \mu 1!= \mu 2, then the corresponding (1-\alpha) % confidence interval for (\mu 1 \mu 2) does not contain zero. Training False True

df=20  confidence interval = 0.90  find out a critical value for left and right tailed test

A Canadian longitudinal study examined whether giving antibiotics in infancy increases the likelihood that the child will be overweight later in life. The study included 616616 children and found that 438438 of the children had received antibiotics during the first year of life. Test to see if this provides evidence that more than 70%70% of Canadian children receive antibiotics during the first year of life. Show all details of the hypothesis test, including hypotheses, the standardized test statistic, the pp-value, the generic conclusion using a 5%5% significance level, and a conclusion in context.     Clearly state the null and alternative hypotheses.                         Calculate the test statistic and pp-value.Round your answer for the test statistic to two decimal places, and your answer for the pp-value to three decimal places.Test statistic== pp-value == What is the conclusion?…

A common characterization of obese individuals is that their body mass index is at least 30 [BMI = weight/(height)2, where height is in meters and weight is in kilograms]. An article reported that in a sample of female workers, 265 had BMIS of less than 25, 159 had BMIS that were at least 25 but less than 30, and 121 had BMIS exceeding 30. Is there compelling evidence for concluding that more than 20% of the individuals in the sampled population are obese? (a) State the appropriate hypothe Open SALT in a new tab e level of 0.05. Ho: P = 0.20 H₂: P 0.20 Ho: p > 0.20 Ha: P = 0.20 Ho: P = 0.20 H₂: P = 0.20 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 = What can you conclude? Do not reject the null hypothesis. There is not sufficient evidence that more than 20% of the population of female workers is obese. O Do not reject the null hypothesis. There is sufficient evidence that…