Psychology Quiz

After checking some of the websites about psychobabble and its meaning, I have learned that there is a lot of words used today by ordinary people, and Psychologist. Some Psychologist or Doctors will diagnose children with ADHD, but they have not tested these children properly to prove their diagnosis. Sometimes these children may be just bored or they need something to do that stimulates their interest in the subject that they are studying or they just have built-up energy and they may need more exercise in their daily routine, than other children.

1. Dependent Variable HR, SV, BP 2. Independent Variable level of activity 3. Controlled Variables age, gender

However, a correlation between two variables does not necessarily imply causation but for a causal relationship to exist between two variables there must be a correlation between the variables (Solomon W. Golomb, 2005). When predicting the Grade Point Averages, correlation might not be a good test for its prediction. This is because there is no GPA is not only influenced by intelligent quotient but it is also influenced by other external factors like Education background, family background, social and political environment among other factors. Other statistical tests may include the use of rating scales to rate qualities that cannot be directly rated through correlation by use of variables like good, fair, and excellent among others. Coefficient of correlation might also be used as a technique of predicting the Grade Point Averages. This refers to the main result of a correlation whereby it predicts significant and smaller changes among variables by use of scale r that ranges from +1.0 to -1.0.

3) This is also a correlation approach because there is no actual manipulation of the variables.

A hypothesis is an explanation that can be tested based on observation. A statistical hypothesis is testable explanation based on observation and different variables. A null hypothesis explains what the results of the experiment will be if the original hypothesis is wrong. An alternate hypothesis is the opposite result if there is or isn’t a null hypothesis. Semmelweis hypothesized that bacteria/virus filled extremities resulted in higher death rates.

Answer: A positive correlation means that increases in the value of one variable are associated

This data shows the ages and systolic blood pressures (measured in millimeters of mercury) of 9 randomly selected adults, (38, 116), (41, 120), (45, 123), (48, 135), (51, 142), (53, 145), (57, 148), (61, 150), (65, 152).

Please type your responses in bold. For short response questions, bullet points are acceptable. Information should not be pulled verbatim from the text or powerpoints and will qualify as plagiarism, so please produce answers in your own words to show your understanding. You must provide your own examples for all questions asking for examples (do not use examples from the text or ppts). You will not receive credit for examples pulled from class or ppt. Some questions have italicized/underlined words, this is to help you learn how to focus on the important aspects of a question, but note, that not all questions include these cues. Total Points (40)

The textbook define the correlation coefficient as "a measure that is designed to indicate the strength of the relationship between two variables" (UBC Real Estate Division, 2009). The textbook also states "the correlation coefficient may be positive, negative, or zero" (UBC Real Estate Division, 2009). A strong relationship implies that there is a relationship between the two variables and "as one variable increases (decreases), the other the variable will increase (decrease)" (Estate Division, 2009). A strong relationship would have a correlation coefficient value of +1 or -1.

1. Dependent Variable EDV, ESV, and cardiac cycle length 2. Independent Variable level of physical activity(resting or exercise) 3. Controlled Variables age, weight, height 4. What instrument was used to measure cardiac volumes? MRI 5. Does the instrument used to measure cardiac volume use X-Rays? Explain. no

In order to figure out how variables relates to each other and the connections among the variables, or one can predict the other. I will choose three quantitative variables or two quantitative variables and one categorical variable on each pairs. I will also use graphs of scatter plots; regression and correlation to understand that how one variable affect other two variables. There are six groups below:

2. Which t ratio in Table 2 represents the greatest relative or standardized difference between the pretest and 3 months outcomes? Is this t ratio statistically significant? Provide a rationale for your answer.

"There are several different kinds of relationships between variables. Before drawing a conclusion, you should first understand how one variable changes with the other. This means you need to establish how the variables are related - is the relationship linear or quadratic or inverse or logarithmic or something else" ("Relationship Between Variables ", n.d)

Research shows that there is a correlation that shows the relationshop between the IQ and the grade point average of students. It was found that the correlation is strong at a .75 because it’s a direct relationship. For instance when someone has a higher IQ they are more likely going to have a higher GPA. However although the correlation shows a higher IQ means higher GPA does not mean that is the only reason the GPA is rising, it could be because they hired a tutor, have been studying more or are maybe just in more interesting classes. In correlation studies they show that there is a relationship between two different variables however it is not evidence or proof in any way. The reason it isn’t proof is because it has not been proven that they are directly the reason for the relationship however that they do have common results. Some of the reasons correlation cannot prove anything is because of the limitations; these would be the lack of information about the correlation, sample size or the standard deviation. In our text it states “If the word correlation is broken down co-relation it is expresses what is meant: The characteristics are related and the evidence for the relationship is that they vary together, or co-vary. As the level of one variable changes, the other changes in concert, this happens because both variables contain some of the same information. The higher the correlation the more they may have in common” (Tanner,2011).

The purpose of the experiment is to see how different variables affect pulse rate and blood pressure.