Exercises 11 and 16 Statistics for Healthcare Professionals Essay examples

Some questions in Part A require that you access data from Statistics for People Who (Think They) Hate Statistics. This data is available on the student website under the Student Test Resources link.

Instructions: This is a group activity that you will start in class and complete at home. For each of the following, note, whether the research design used is an experiment, a quasi-experiment, or a correlational approach and why. If a study is an experiment, identify the independent variable and the dependent variable. Please type your answers in complete sentences.

In order to receive full credit on calculated answers, please show your work. (Use Word's equation editors, etc., and/or provide a short written description as to how you obtained the final result.)

The first set of data to be looked at is gun ownership and the percentage of males and females that agree or disagree to the ownership of guns. As can be seen on Table 1 which deals with gun ownership it is seen that 30 percent of females are in favor of the ownership of guns, while 39 percent of males say ‘yes’ to gun ownership. Taking the difference from the percentages of males who say ‘yes’ and females who say ‘yes’, there is a difference of 9 percent. Using the rule of thumb for calculating a relationship between the variables, because the difference is less than 11 percent, there is only a small relationship among females and males who are in favor of gun ownership. When looking at the percentages of women and males who are

c. Generally speaking, the question do not differ in relationship to the type of study

Were the distributions of scores similar for the experimental and control groups for the length of labor? Provide a rationale for your answer. (Grove 79)

5. What factors might I consider in deciding whether to use the experimental or non-experimental method to study the relationship between work stress and family conflict? Well, I would consider the experimental design because it focuses on the root of the cause. And using random experiments have gained great performance for successful strides in our

Groups are independent in this study. According to the above data independent groups define as if the two sets of data were not taken from the same subjects and if the scores are not related. In this study subjects are two different genders which is men and women and scores are not even related each

The participants were selected from a longitudinal study that was done at University of Maryland. At the beginning, there were 35 mother-infant pairs selected for the experiment but after several exclusions,

The first step in determining the specific types of statistical tests we could conduct however, is determining whether to utilize parametric or non-parametric tests. While parametric tests would provide us with greater power to detect possible treatment affects, since our collected data appears non-normal, and for the most part is not of the ratio or interval variety, I would elect to use non-parametric tests for the statistical analysis of our results. Following this then, a number of questions can be formulated to be asked of our data, with two major categories arising, one with questions dealing with mate choice and the other with questions involving mate competition. With respect to mate competition one could attempt to determine:

The population of interest is adults, specifically adult couples. The population is well-defined as the author observed kissing couples and their ages ranged from 13 to 70 years old, which pretty much include all the adults even though it is arguable that there are some teenagers in this range. He also defined clear criteria of what counts as kissing and which situations should be invalid. For example, he points out that there should be no hand-held objects as it might interfere with the kiss. The graph in this article is well-constructed, and because the data here is categorical, the author presented clearly by drawing a bar graph. Both the axes are labeled correctly, and the y-axis also shows appropriate scaling. The graph is quite useful in showing that the amount of right turns is twice the amount of left turns. Moreover, the author used the appropriate test statistic as the Chi-Square statistic is used for testing relationships between categorical data. Additionally, the correct degree of freedom and the standard 5% significance level was

State the number and type of groups and number of participants in the study (1.5 points)

There was a mixture of both male and females testing the same hypothesis with different profiles and different

7) Name the research design likely used in this study? (correlational/experimental) Experimental, the researcher manipulated all the variables, and had all the control.

They then wanted to determine if the statistical power of the sub-samples were sufficient enough to determine a factual difference in fraternal birth order. They also wanted to investigate how many of the patients from the laboratory had new brothers or sisters after they had already turned nineteen. In the original study, the sample included 1604 men which was then reduced due to potentially incomplete subships, to 1122 individuals in which 859 were heterosexual and 263 were homosexual. There were also two sub-samples, the first containing 698 individuals of which 525 were heterosexual and 173 were homosexual, excluding all individuals who were under thirty-one years of age. The second sub-sample excluded all individuals whose mothers were under forty-six years of age and contained 727 individuals of which 562 were heterosexual and 167 were homosexual. The researchers used the database of the Kurt Freund Laboratory at the Center for Addiction and Mental Health in Toronto, Ontario, Canada. The database consists of male patients “referred for phallometric assessment because of sexual offending or paraphilia” The patients were asked to document the sex and age of every child delivered by their biological mothers. They also used patients assessed in the laboratory from 2000-2004. They then used t-tests and “Cohen’s d” equation from a