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? LAUSE SALT (a) State the appropriate hypothe Open SALT in a new tab e level of 0.05. Ho: P = 0.20 H: P<0.20 Ho: P = 0.20 H₂: p > 0.20 Ho: p > 0.20 H₂: 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? O 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 more than 20% of the population of female workers is obese. O Reject the null hypothesis. There is sufficient evidence that more than 20% of the population of female workers is obese. O Reject the null hypothesis. There is not sufficient evidence that more than 20% of the population of female workers is obese. (b) Explain in the context of this scenario what constitutes type I error. A type I error would be declaring that 20% or less of the population of female workers is obese, when in fact more than 20% are actually obese. A type I error would be declaring that 20% or more of the population of female workers is obese, when in fact less than 20% are actually obese. A type I error would he declaring that lore than 3000

what is the minimum pregnancy length that can be in the top 8% of pregnancy given a mean of 265 and a standard deviation of 12

what is the standard deviation of x1=20 x2=30 x3=32 x4=21 x5=24 x6=11?

The mean mathematics SAT score for all people who took the SAT in a particular year was 514 with a standard deviation of 117. Assume the mathematics SAT score is normally distributed.   d) Use the Empirical Rule to approximate the percentage of people who take the SAT that will have a mathematics SAT score between 163 and 631 . There is about               % of people who take the SAT that will have a mathematics SAT score between 163 and 631 . e) Use the Empirical Rule to approximate the percentage of people who take the SAT that will have a mathematics SAT score of at least 280 ? There is about                  % of people who take the SAT that will have a mathematics SAT score of a least 280 .

According to the American Freshman, the number of hours that college freshmen spendstudying each week is normally distributed with a mean of 7 hours and a standard deviationof 5.3 hours.a) What percent of college freshmen study between 7 and 12.3 hours per week?b) What percent of college freshmen study more than 17.6 hours per week?

If batteries have lives that are normally distribute with mean 2, 800 hours and standard deviation 400 hours, using the 68-95-99.7 rule to approximate the percentage of batteries having a life less than 3, 600 hours.

An excess of high values for the cases distributed on a graph results in a positive skew in the data?