Understanding And Exploring Assumptions Of Assumptions

What are the core assumptions and key features of the biological and psychoanalytic perspectives in psychology? In what ways are they similar and how do they differ?

Least Dangerous Assumption (Jorgenson, 2005) was a very thought-provoking read. Donnellan’s idea of least dangerous assumption, I agree with. Teachers should assume that students with significant disabilities are able to learn to assume the reverse is harmful to the students (Jorgenson, 2005).

 Inferential statistics helps us to analyze predictions, inferences, or samples about a specific population from the observations that they make. “With inferential statistics, you are trying to reach conclusions that extend beyond the immediate data alone” (Trochim, 2006). The goal for this type of data is to review the sample data to be able to infer what the test group may think. It does this by making judgment of the chance that a difference that is observed between the groups is indeed one that can be counted on that could have otherwise happened by coincidence. In order to help solve the issue of generalization, tests of significance are used. For example, a chi-square test or T-test provides a person with the probability that the analysis’ sample results may or may not represent the respective population. In other words, the tests of significance provides us the likelihood of how the analysis results might have happened by chance in a scenario that a relationship may not exist between the variables in regards to the population that is being studied.

Hypothesis is typically used in quantitative research only. Moreover, when a question poses an inquiry on the relationship between two variables, a hypothesis is a statement declarative in nature of the relationship between different variables (Pajares 2007). A researcher chooses whether to use a question or a hypothesis depending on the purpose of the research, its objectives, the methodology for the research and the preference of the audience to receive the research. A researcher must be able to interpret the final outcome with reference to the research questions or the hypothesis used (Pajares 2007). A research requires a minimum of two hypotheses namely a null and an alternative hypothesis.

6.     Why is it important to pay attention to the assumptions of the statistical test? What are your options if your dependent variable scores are not normally distributed?

Earlier this Semester, I participated in "The Power Of Assumptions Activity" which took place during a training I was helping facilitate. I was asked a series of questions and then I had to stand by a sign in the room that answered the questions being asked. The signs had different pieces of a person 's identity listed on them. A few examples included: Socioeconomic status, Family, Education, and Race. As the activity progressed, I realized that I don 't think about how the Racial piece of my identity affects my life as much as some other pieces. "The Power Of Assumptions Activity" allowed me to experience the uncertainty of not knowing how I would answer one of the questions on the contrary experience the opposite by answering many questions right away and which sign to stand under. "The Power Of Assumptions Activity" surprised me as I saw myself standing alone and also with other people depending on the questions that was asked and how each person decided to answer the questions for themselves. I chose this example to illustrate to introduce my paper about my Racial identity and also the challenge of writing this paper and reflecting on my Racial identity.

Hamilton’s economic policies, although created to help the country as a whole, are directed to benefit the rich and mainly northern states, and not the poorer more southern states. Separating the rich from the poor will only divide the country more, and create more economic problems for the poorer parts of the new country. Hamilton’s assumption plan and establishment of the Central Bank will only divide the country into rich and poor parts and create economic and social tension.

4. What are the assumptions for conducting a t-test for dependent groups in a study? Which of these assumptions do you think were met by this study? There are four main assumptions that must be met when conducting a t-test for dependent groups. Normal distribution of scores Interval or ratio levels of measurement for Dependent Variables

When immigrants first came to America, a motivating factor behind their reason to move had a strong correlation with the religious freedom that was offered within the country. Thus, as America grew and aged religious freedom quickly became essential to many different religious groups. This is very true for a particular branch of Christianity, the Mormons. Mormonism began near 1820 when a man, named Joseph Smith, translated the Bible and Book of Mormon, becoming the first prophet for the Church of Jesus Christ of Latter Day Saints (LDS). Joseph Smith’s name went down in history and is a household name for Mormons across the world.

“You shouldn’t cross the street until the green light is settled” a brawny man with a huge physique addressed a group of kids on a rainy day. The man is talking on the public phone seeming to explain something vital. While him heading outside, a man with a shade of grey coat and an umbrella shot him with a 9mm gun. The kids noticed that the man shot – a police officer and a chief assistant- was holding his left pocket where the memo pad was. Furthermore, another police officer got shot trying to reach his memo pad. It’s a confound bearing to the society of detectives. In conclusion, a copious of stereotypes started to introduce the story to the citizens. Was it the opposition of radicals? Or a warning of the society? The mystery

What are cultural assumptions? Cultural assumptions are defined as assumptions that are commonly known throughout a culture. These assumptions are highly relevant in the modern society we live in. It doesn’t matter who you are or where you come from, you will always have your own assumptions. Literature plays a key part in what kind of assumptions we will have, right from the age we begin to process information in our minds. This leads me to the assumption that has stuck with us since our childhood days. Stepmothers. There is a strong cultural assumption that stepmothers are ‘evil’ people, who force their way into other families and are malicious to their stepchildren. Assumptions like this influence our perceptions and lead

When we were kids our parents make it priority to teach us moral, values, and instill in us certain beliefs. So teaching was instilled us based on cultural, and many was taught to us based on ways to deal with negative societal influences. Assumptions is other component we operate in daily. As we grow into adults we make assumptions based on our values and beliefs. When I think about values, beliefs, and assumptions many different thought come to mind.

Historically, humanism finds its roots in the mid-20th century. Abraham Maslow developed his hierarchical theory of motivation in 1943. Carl Rogers published person centered therapy in 1946. In the 1950’s, Maslow and Clark Moustakas invited others to meetings among other psychologists interested in forming an association dedicated to a more humanistic perspective.

The estimates and underlying assumptions are based on historical experience and various other factors that are believed to be reasonable under the

Assumptions of OLS regression There are several assumptions about the data that must be met in order to conduct a linear regression analysis: Linearity: It is assumed that the relationship between the independent and dependent variables is linear. Though this assumption can never be fully confirmed, looking at a scatter plot of your variables can help make this determination. If a curvature in the relationship is present, you may consider transforming the variables or explicitly allowing for nonlinear components. Normality: It is assumed that the residuals of your variables are normally distributed. That is, the errors in the prediction of the value of Y (the dependent variable) are distributed in a way that approaches the normal curve. Independence: It is assumed that the errors in the prediction of the value of Y are all independent of one another (not correlated). Homoscedasticity: It is assumed that the variance around the regression line is the same for all values of the independent variables.