Question;The regression analysis below;relates average annual per capita beef consumption (in pounds) and the;independent variable "average annual beef price" (in dollars per;pound).;The;coefficient on beef price tells us that;A. For every price increase of $1;average beef consumption decreases by 9.31 pounds.;B. For every price increase of $1;average beef consumption increases by 9.31 pounds.;C. For every price increase $9.31;average beef consumption decreases by 1 pound.;D. For price increase of $9.31;average beef consumption increases by 1 pound.;2. Two semiconductor factories are;being compared to see if there is a difference in the average defect rates of;the chips they produce. In the first factory, 250 chips are sampled. In the;second factory, 350 chips are sampled. The proportions of defective chips are;4.0% and 6.0%, respectively.;Using a confidence level of 95%, which of the;following statements is supported by the data?;A. There is not sufficient evidence to show a significant;difference in the average defect rates of the two factories.;B. There is a significant difference in the average defect rates;of the two factories.;C. The first factory's average defect rate is;lower than the second factory's on 95 out of 100 days of operation.;D. None of the above;3. Preliminary estimates suggest that;about 58% of students at a state university favor implementing an honor code.;To obtain a 95% confidence interval for the;proportion of all students at the university favoring the honor code, what is;the minimum sample size needed if the total width of the confidence interval;must be less than 5 percentage points (i.e., the confidence interval should;extend at most 2.5 percentage points above and below the sample proportion)?;A. 375;B. 264;C. 1,498D. The answer cannot be determined from the;information given.
Paper#56892 | Written in 18-Jul-2015Price : $22