Measurement issues. Data, even numerically coded variables, can be one of 4 levels - nominal, ordinal, interval, or ratio. It is important to identify which level a variable is, as this impact the kind of analysis we can do with the data. For example, descriptive statistics such as means can only be done on interval or ratio level data. Please list under each label, the variables in our data set that belong in each group.
1.1.2 Graphs We have now converted information from words or pictures to tables to formulae and now we’re going to look at how we can convert information into graphs: Example: If we invest R1 and it doubles every month, how much will we have at the end of 1 year? Let’s first draw a table: Months 1 2 3 4 5 6 7 8 9 10 11 12 Rands 1 2 4 8 16 32 64 128 256 512 1024 2048 Now let’s depict this information as a graph or chart: We can draw a bar chart:
The hospital sees an average of ten thousand visits to the emergency department, and an average of six hundred admissions yearly. There is only about one thousand total surgeries performed on a yearly basis, which includes both inpatient and outpatient surgeries. This hospital has a long-term care facility, and a primary care group practice attached to the
3.5 Dealing with outliers The graphical representations of data made possible by visualization can communicate trends and outliers much faster than tables
4.1 SEX-Dose sex differ will have influence on student’s score? From the histogram graphs above, we can confirm that mean in four subjects are trend to normally distributed. To test whether the mean for reading, writing, math and science is the same for males and females, an independent samples t-test tool is suitable because it can compare the means of a normally distributed interval dependent variable for two independent groups. H0: Females have no significant difference and high mean score than males in reading score H1:
This test is selected as the research question is looking for the association between is NIofH Hypertension Category which is the independent variables and ordinal level of measurement and engagement in weekly moderate activity which is the dependent variable and is nominal level of measurement (Loiselle et al., 2011). There are two different samples and the researcher is interested in if there is an association between the two samples. A Chi-Square for independence test looks at the association between two samples that are both of a categorical level of measurement (Salkind, 2013). Lastly, the statistics assignment seven outline provided a cross tabulation SPSS output of frequencies and a Chi-Square test output. The SPSS output has four columns that consist of the independent variable NIofH Hypertension Category and two rows that consist of the dependent variable engagement in weekly moderate activity (Salkind, 2013).
Week Two Reflective Assignment Mary Carnahan QN 320: Essential Statistical Thinking July 20, 2016 Week Two What I learned this week in “Data Description, Probability, and Counting Rules” Chapter three “Descriptive Analysis and Presentation of Bivariate Data” Bivariate data are values with the two different variables that are from the same population element.
Logos is the primary rhetoric in this visual with a tremendous of data and graphs presented to the audience. The bar graphs can be easily interpreted without looking at the specific numbers, but there is a scale available at the bottom for readers who seek the specific numbers. Pathos is conveyed through color schemes, font, and the design of the visual. The color scheme used is dark red, with a grey background and black texts appeals to the pathos of the viewers. The font use is not conventional, and gives a grotesque and unsettling feeling for the viewer.
The versatility of the data includes measures that are qualitative and others that are
Stratified Random Sampling because she chooses students equally from girls and boys group. e. A researcher wants to analyze the issues that teacher’s in her district believe to be detrimental to student achievement. He prints a list of all 2,200 district employees and choose every 8th person on the list to be in his
1. Describe your college level coursework and/ or clerical experience as it relates to the knowledge and abilities of the Administrative Aide position. As the Division Secretary, I monitor the Investigations Special Fund by making sure all purchases have appropriate correspondence. I execute monthly minutes for the County Commander’s Association, Child Death Review Team, SART and Sergeants meetings.
There is a health crisis going on in this country. The health crisis or public health crisis is a problematic situation that affects human areas that are very closely connected or linked together. This can range from a particular locality to encompass the entire Earth. Health crises generally have significant impacts on community health, loss of life, and on the economy. They may result from disease, industrial processes or poor policy.
SQL server database latest version is installed and its connection with the proposed visualization tools is tested. Appendix/ data dictionary is analyzed. Our aim for this project is tell stories using data visualizations. This will be accomplished by developing various types of visualization to appreciate and identify trends in data. 3 suggested visualizations, i.e. histograms, stacked charts and barrel chart will be used
Non-probability Sampling Method: Sampling method that require the conductor to choose a subset of population they are interested in researching. This can be seen from the simulation Ramada did, during the “Grand Hotel Opening” they asked their employees, this includes staffs and management, some people from headquarters and the property owners. These are the people they are interested in and they are the people that Ramada wants to do research on. This sampling method is appropriate because it focuses on the population the researches interested in studying. It is more necessary rather than conducting the research on the customer, they instead focus on their own management to improve their inside quality.
In quantitative research, variables are identified and defined, and then relevant data is collected from study participants. A strength of this type of research is that the data is in numeric form, making it easier to interpret. It also studies the relationship between independent and dependent variables and can address questions such as does a relationship between variables exist, what is the direction of the relationship, how strong is the relationship between the variables, and what is the nature of the relationship. To be able to discover and answer the cause-and-effect relationship is a strength of quantitative research. Lastly, in quantitative research, the study can either be experimental or nonexperimental, meaning clinical trial or observational study, allowing for different types of research studies to be conducted.
