auss co manufactures The quality control dep kty values of differe suppliers for the percentage difference of waste between the layout on the computer and the actual waste when the clothing is made (called run-up). The data is in the table, and there are some negative values because sometimes the supplier is able to layout the pattern better than the computer. Do the data show that there is a difference between some of the suppliers? Test at the 1% level. Run-ups for Different Plants Making Levi Strauss Clothing Plant Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 3 Plant 3 Plant 3 Plant 3 Plant 3 Plant 3 Plant 3 Plant 3 Plant 3 Plant 3 Plant 3 Plant 3 Plant 3 Plant 3 Plant 3 Plant 3 Plant 3 Plant 3 Plant 3 Plant 4 Plant 4 Plant 4 Plant 4 Plant 4 Plant 4 Plant 4 Plant 4 Plant 4 Plant 4 Plant 4 Plant 4 Plant 4 Plant 4 Plant 4 Plant 4 Plant 4 Plant 4 Plant 4 Plant 5 Plant 5 Plant 5 Plant 5 Plant 5 Plant 5 Plant 5 Plant 5 Plant 5 Plant 5 Plant 5 Plant 5 Plant 5 Plant 5 Plant 5 Difference 11.9 3.9 -10.6 8 -1.4 7.5 -7.7 -10.2 -3 -4.6 2.6 2.4 3.6 5 -4 2 2.3 7.2 9.5 0.9 5.5 6.7 22.6 19.6 6.6 14.1 11 -9.7 46.9 0.9 15 15.7 7.9 24 4.3 -4.6 -6.5 27.3 -16 19 -30 19.2 0.3 -20.1 4.6 5.4 7.5 7.7 1 -2.1 8.2 15.4 1 9.2 6.3 3.3 -0.7 8.7 11.2 1 10.9 1 5 14.2 3.9 13.2 14.8 6.4 9.3 10.6 11.8 3.7 State the hypotheses. Ho: Select an answer H: Select an answer 6.8 10.1 15.2 4.5 10.3 8.8 12.8 6.8 7 6.9 14.9 -7.4 13.9 10.9 23.7 14.1 17.3 2.2 11.9 6.7 8.2 17.7 8.5 12.1 8.8 Calculate the F test statistic. Round to two decimal places. F= Calculate the p-value. Round to four decimal places. p-value= State your decision. Since p-value? V 0.01, Select an answer Ho. Interpret the results. At the 1% significance level, there [Select an answer evidence to show that Select an answer difference between some of the suppliers. a

Which is the line of best fit for the data shown in the table? y 2 4 6. 6. 8. 8. 9. 9. O y = 0.72x+3.04 O y = 2.68x + 0.75 O y = 0.75x+ 2.68 O y = 2.68x + 0.70 96 XHN456

Summarize the effect different kinds of outliers can have on a data set in terms of how we interpret whether we have a good model or not.

The original data set is in the picture and the question parts needs to be answered as well for the original data set. Read and answer carefully and correctly.   Compute the mean, median, and mode for the data. Show your complete work.    (b) Compute a 5% trimmed mean for the data, and compare it with the mean computed in part (a). Does the trimmed mean more accurately reflect the general level of the daily rental costs?   If 5 will be added to each cost of condominiums, what will be the mean, median and mode?   If each cost of condominium will be added by 10 and multiplied by 2, what will be the mean, median and mode?

Are cigarettes bad for people? Cigarette smoking involves tar, carbon monoxide, and nicotine (measured in milligrams). The first two are definitely not good for a person's health, and the last ingredient can cause addiction. Use the data in the table above to make a stem-and-leaf display for milligrams of tar per cigarette smoked. (Enter NONE in any unused answer blanks.) Are there any outliers? A. Yes, 1.0 may be an outlier. B. No, there are no outliers.     C. Yes, 29.8 may be an outlier.

The boxplot below shows salaries for CPAS and Actuaries in a town. СРА Actuary 20 30 40 50 60 70 80 90 100 110 Salary (thousands of $) If a person is making the third quartile salary for a CPA, they are making less than % of Actuaries.

How Panel Data is useful to control some types of omitted variables without actually oberving them?

When an observation that is much larger than the rest of the data is added to a data set the value of the median will increase substantially . True or False?

1.)  Data can be misrepresented through graphs.  Try to find an example of a misleading graph in the real world.  Check magazines, papers, internet, etc.  Then upload the graph and say what can be misleading.  2.)  What are the three measures of central tendancy and how do the mean and median give us an idea of how the data is distributed?  3.)  What are the three measures of dispersion.

Which of the measures of central tendency do you think you would use the most? Provide one (1) example. Explain what is meant by positive bias and negative bias in relation to the mean, mode, and median. If you were given a choice between the mean, median, or mode to calculate measures to make a decision about a set of data, which of the three measures would you use, and why?