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Material Type: Assignment; Class: Introduction to Statistical Methods for Life and Health Sciences; Subject: Statistics; University: University of California - Los Angeles; Term: Fall 2008;
Typology: Assignments
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http://www.stat.ucla.edu/~dinov/courses_students.dir/08/Fall/STAT13.1.dir/
(part 1) Using the equation
=
= −
i i
N i i i x Nx
xy Nxy b 1
2 2
1 ( )
, your estimated rate of incorporation
is (^2) 9100 7 ( 30 )
The rate according to the SOCR regression analysis (C1 (the x values) is independent and C2 (the y values) is dependent) is very close to our estimated rate. See figures below.
(part 2) The plot of the data with the line:
(part 3) The slope is -0.721 indicating that the cob weight decreases by 72 units as the plant density increases by 100 units. The intercept is 316.376 indicating that the cob weight is estimated to be 316 units if there are no plants in the plot (x=0). The correlation is -0.942 meaning that the cob weight highly depends on the plant density.
Step 2: Map the columns so that the column with sodium (in this case C1) is dependent.
Step 3: Hit CALCULATE and check out the results from the RESULTS tab:
The P-value is greater than 0.05, so we will not reject the null hypothesis that the sodium levels of the three meat groups are the same.
Step 2: Map the columns so that the column with calories (in this case C1) is dependent. (see the figure from the analysis of sodium)
Step 3: Hit CALCULATE and check out the results from the RESULTS tab on the next page.
The p-value is very small, so the null hypothesis will be rejected. Also note the huge F- value which is another reason to reject the null hypothesis.
Step 1: Input the data so that all CPI values are from the same year, which is just one way of doing it.
Step 2: Map the columns so that the CPI values are dependent.
Step 3: Click CALCULATE and see the results from the RESULTS tab. Looking at the next page, you can see that the null hypothesis that all CPI item had the same effect on the CPI value because 1) the F-value is big and 2) the p-value is tiny.
