It is neither true nor false.
It is important that you have a view about the expected outcomes so that you can test whether or not the assumptions for the model - independent, identically distributed errors - is valid or not. While these are based on the differences between the expected and observed outcomes, it is not necessary to determine the expected outcomes beforehand. Determining their distribution is sufficient.
from 1:2 to 5:7
You seem to be referring to the Pearson chi-square test-of-fit statistic. To do this you need not only the observed values in a frequency table (which you have) but the expected (or theoretical) values for that table.In practical situations the expected values are obtained by making some educated guess about what distribution the observed values came from, estimating the parameters of that distribution and then using the estimated distribution to obtain the required expected values to calculate the chi-square.In short, you need more information.
All squares are rectangle, but not all rectangles are square. The expected answer is "a square" ... A square has 4 lines of symmetry. A rectangle that is not a square has 2 lines of symmetry. However, the question is ambiguous. Since a square is a rectangle you can say that some rectangles have 4 lines of symmetry. A better question is, "Which has more lines of symmetry; a square, or a rectangle that is not a square?"
first you do 23.5 X 23.5 (square it) which is 552.25. Then you multiply by pi. If your calculator has a pi button, use it, but if not, round to 3.14. 552.25 X 3.14 = 1734.065 If you have a pi button, you should get 1734.94454294496. Because Pi is irrational, even this is rounded. The easier way to use pi is 3.14 because you a most likely not expected to go out 20 decimal places for pi.
Suppose you have two variables X and Y, and a set of paired values for them. You can draw a line in the xy-plane: say y = ax + b. For each point, the residual is defined as the observed value y minus the fitted value: that is, the vertical distance between the observed and expected values. The least squares regression line is the line which minimises the sum of the squares of all the residuals.
You determine who you are briefing and what is expected of you in the Analyze phase.
The analytic step in the briefing process is the stage whereby you are expected to determine who you are briefing and what is expected of you as a briefer.
analyze
Yes, they are. It is expected to be released later in 2010.
depreciation
Yes it probably will be, but it depends on how long it will be snowing bad, what the road conditions are and what they are expected to be, how much snow is expected and other factors. The district's administers will take all factors into consideration and determine if closing school is necessary,
Analyze
Analyze
Berlin has been recording the highest numbers and is expected to continue to register the most partnerships.
No. It is not expected that anything that drastic will be necessary and it isn't at all necessary at this point.
Analyze
Variables will determine but the range off the bat is 40,000-100,000 respectfully.