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Now, let's look at a different linear combination. Suppose we are interested n comparing the average mean log income for no college education (< 12; 12) to the average mean log income for any college education (13 15; 16;> 16).
1. Write out the linear combination of means we are after in terms of s. Be sure to include all groups to explicitly show work.
2. What are the coefficients of the linear combination in (1)? (i.e. What are the C's)
3. Write out the estimator of the linear combination (g)
4. Obtain an estimate using the group averages directly.
5. Calculate the SE of the estimate using the Display 6.4. 6. Construct a 94% confidence interval for the linear combination.
Applications of Standard Error Standard Error is used to test whether the difference between the sample statistic and the population parameter is significant or is d
For calculating the mode of the grouped data graphically, the following procedure is adopted. Draw a histogram of the data; the modal class is the tallest rectangle.
Root Mean Square Deviation The standard deviation is also called the ROOT MEAN SQUARE DEVIATION. This is because it is the ROOT (Step 4) of the MEAN (Step 3) o
data:59,59,65,70,74 176,179,195,210,200
Sampling Error It is the difference between the value of the actual population parameter and the sample statistic. Samples are used to arrive at conclusions regarding the p
mle
Statistical Process Control The variability present in manufacturing process can either be eliminated completely or minimized to the extent possible. Eliminating the variabilit
a) What is meant by secular trend? Discuss any two methods of isolating trend values in a time series.
Explanation of descriptive statistics Describe what these descriptive statistics show or what recommendations you would create to AIU. What information do you now have as a re
In a three-cornered paint ball duel, A, B, and C successively take shots at each other until only one of them remains paint free. The three paint ballers have different probabiliti
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