Probability and Statistics Research Project

I conducted a survey, asking 20 females and 20 males their favorite food group for my AP Statistics project. I surveyed on Wednesday, September 27 and on Thursday, September 28 at Marshall High School. They chose from protein, grain, vegetables, fruit, and dairy. From the data, I found that 10 males and 2 females liked protein best, 3 males and 2 females liked grains best, 1 male and 1 female liked vegetables best, 3 males and 13 females liked fruit best, and 3 males and 2 females liked dairy best. Half of the males liked protein best, while most females liked fruits best. The least amount of both males and females liked vegetables. From this data, we can see that males like protein more than females do, and females like fruit more than males

According to the website http://womenissues.about.com/cs/abortionstats/a/aaabortionstats.htm there are approximately 126,000 abortions conducted each day throughout the world. This website includes the abortion statistics of the world and breaks the data down to the demographics of the United States. It also discusses the decisions to have an abortion and the use of contraceptives in the United States. This was an informative website and included detailed statistics conducted by the Alan Guttmacher Institute. According to the website http://www.bls.gov/cps in 2000, gon average there were roughly 135 million employed and 6 million unemployed people in the labor force in the United States.h (p. 3) The websites definition of

You do this because, all points have been translated in a straight line, in the same direction (the direction is [7 -1]) by the same distance, the new figure A'B'C'D' would have the same shape, same orientation and same size as the original image. It would just be in a different location on the graph. If you were to join A with A', B with B', and so on, you would see that all 4 of the vectors are parallel and are all equal length.

the following is true about the process of read data, as described in the chapter?

1. Though it is the color representation of the data, it can omit important data thus introduce error hence less specific.

The parity bit is also used to restore the data because it matches the same parity bit that matches the data on other row and they can be used to restore the data.

Then, the cell is accessed to get the information of edge $e_3$ and $e_7$ (which connect with $n_1$)

(1) David Ashbaugh refers to this identification process as, "a guide of how friction ridge quantative-qualititive analysis is transformed into an opinion of individuality. It describes the friction ridge formations used during analysis while establishing parameters as to how much knowledge one must have to perform such a task."

Right above the first data table, the reader is encouraged to “take a close look and see if [they] can spot anything strange,” (Gladwell 20). This prompted me to actually look at the data table, as opposed to glossing over the information like I might have done. Through the book, the passages guide the readers to come to their own conclusions

Assuming unequal variances, the two sampled t-Test was applied on the data sets of female and male shoe sizes with the alpha value of 0.05. The null hypothesis was that the female and male shoe sizes have an equal mean while the alternative hypothesis was that female and male shoe sizes do not have an equal mean. With the degrees of freedom being 27, the t-statistic is -8.16. The probability that -8.16 is ≤ -1.70 is 4.5×10-9 for the one-tailed test. Also, the probability that -8.16 is ≤ ±2.05. is 9.1×10-9 for the two-tailed test. Given that both probabilities are under the alpha value of 0.05, the null hypothesis is therefore rejected, and the alternative hypothesis is accepted at the 95% confidence level.

Read the directions and write answers independently. 1. (L.2) Choose the sentence with correct capitalization and punctuation. A. Mrs. Brown catches the bus at the corner of Elm and N. Grove.

This PCA image is more informative as it has high variance. But principal component 5 contains more information than principal component 3.So this is not always true that high variance image always contains more spatial information than low variance image. To address this problem QMI is applied between class labels and PCA image so that we

When we input the data into the corresponding categories, to make the process more efficient we each had three files that we analyzed. As I worked with my histories, I noticed that

Therefore, the original image space is highly redundant, and sample vectors could be projected to a low dimensional subspace when only the face pattern are of interest. A variety of subspace analysis methods, such as Eigen Face~\cite{turk1991eigenfaces}, Fisherface~\cite{belhumeur1997eigenfaces}, and Bayesian method~\cite{moghaddam2000bayesian}, have been widely used for solving these problems. One of the most useful methods is Mutual Subspace Method (MSM)~\cite{yamaguchi1998face}.

To construct an optimal hyperplane, SVM employs an iterative training algorithm, which is used to minimize an error function. According to the form of the error function, SVM models can be classified into four distinct groups: