Abbreviated Torrance Study

al.,2007). Using previously researched scholar articles and books, the authors were able to base their search, follow certain guidelines and compare their results with other results. Using tests such as the Kruskall-Wallis non-parametric test, Nagel et. al.(2007) were able to examine the differences in performance based on each grade group.

Five hundred sixty five students ranging from grade 7 to grade 11 took part in this study. All students enrolled in an

Internal validity of this study included data collection process and student personal interest in education. For example, students may have scored in exam because they concern about their own education. Reliability of this study instrument has not been tested. This is the first time this group will have this survey. There is no former survey to use as a standard to see if there are many changes.

The student data file was used as the data source. The sample size included one hundred men and one hundred women. Thirty-five out of one hundred men had not declared for a degree. Fifteen out of one hundred women had not declared for a degree. The level of

Then comparing the level of school years completed with the sex, female (N=69360) and male (N=67406), another significant relation was found t (136764) = 6.62 (0.15). The level of school years completed has a relationship with sex (see appendix F). Therefore, we reject the null hypotheses.

Data collected from research already conducted will be analyzed for limitations and to conduct a comparative analysis of the results. The survey completed by classmates will be used to collect

The Final Project is worth 105 points. Please download this document to your computer and save it using the naming convention specified in the course syllabus. For the Final Project you will be using the MM207 Student Data Set, the survey codebook, and StatCrunch as necessary. You should enter your answers/responses directly after the question. There is no need to retype the project.

Literature review in relation to the findings. Some findings of this study replicate what has already been revealed in the literature, with regards to the topic of the undergraduate

Participants were from a high school as a convenient sample. They are juniors and in the

The target population for this study were forty White people from Colorado State University. The use of only white people was because they wanted to reflect the ethnic diversity of Colorado State University. In the year 2013-2014, Colorado State University undergraduates had 22,565 students and 74.36% considered them as white and 2.09% considered them as Black. In the second experiment, fifty-nine participants from Colorado State University participated in this experiment that had course credit in Introductory Psychology. This was a non-probability sample because this does not give all the individuals in the population equal chances of being selected. They only used one college and this college was not as diverse.

There are a variety of topics that are interesting in life. This interest may then become a point of inquisition, where an individual may formulate a relationship between two variables, which may or may not influence each other. Next, a hypothesis is formed and tested. In this same manner, a school educator was interested in determining the potential relationship between grade point average (GPA) and IQ scores among ninth graders. The educator random sampled 30 ninth graders, ages 14 years old and administered the Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV). This writer will be expanding further on this topic and will formulate the null and alternative hypothesis, describe the four scales of measurement, describe whether if there is a correlation significant (positive, negative, or no correlation) enough between both variables, describe the strength of the relationship, describe what the results reveals about the hypothesis, and what conclusions can be drawn from the results.

On the Race of Participants graph it shows which race was able to identify the famous and non-famous names faster. The graph Male and Female Participants, shows if females or males had more knowledge of the names. On the original study, this was significant to see if races or genders changes the results of the participants. The Repeated Measurement, was a strength in the study because it was a success. The study was an opportunistic self-selection, also a strength. The Limitations of the study was that some participants were talking during the experiment, Non-participants in the experiment area, Classroom music playing in the background, Misnumbering of participants, Wrong powerpoint was used, and classroom setup in both trials. For better results and improvement in this study the researcher recommends that the Non-participants are removed out of the room, no music in the background, recount the number of participants at least twice, and set up the classroom in a way that will be good for the participants in the study. The study was a success, the students were able to identify the number of famous names faster than non-famous names. Although, there were some limitations that could affect the results, the study was still a

The results from this study only reflect a very small number of the population, so it is difficult for this experiment to show any significant results. It would have reflected better on the results if the sample size had been meet, however it was not possible due to lack of time and number of eligible volunteers.

This paper will examine a data analysis and application for an independent t test comparing the mean GPAs of a sample of male and female students. It will pose a research question that the data will set out to answer. It will provide a null hypothesis and an alternative hypothesis, and will provide an analysis showing why the null hypothesis should be accepted or rejected in favor of the alternative hypothesis.

Significance of the Study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11