Graphically Representing Data
Within a School Setting
Christopher M. Lightfoot Abstract
This paper examines the ability to graphically display frequency distribution tables that are represented within a school setting. There are three types of data sets that are interpreted within two types of frequency distribution tables (see Table 1). The first type of data set that is mentioned is a discrete nominal data set that is graphically displayed as a bar chart (see Figure 1), which displays the reoccurrence of each category within the simple frequency table (see Table 2). The second data type referenced is a discrete ordinal data set that was analyzed through a simple frequency table. The simple frequency table allows for the conversion of the ordinal data into a pie chart (see Figure 2), which measures the percentages within a four point Likert Scale (see Table 3). The final data source is a continuous interval set, which was interpreted through a cumulative frequency table (see table 4). The cumulative frequency table is graphically represented in Figure 3 as a combination of a histogram (which measures the percentage of class intervals) and scatter points (to identify the cumulative percentage between all of the class intervals).
Graphically Representing Data
Within a School Setting
The creation of frequency distribution tables allows for the conversion of the data within the set into a dramatic graphic representation. Research from the
The lab uses the measurements of a wooden dowel in length and diameter to collect data in order to interpret data in report form. The data is used to produce statistical data and how to correctly present it. A ruler and micrometer were used to measure the dimensions. Spreadsheets are then constructed in order to generate standard deviation, mean, median, mode, frequency, as well as variation of length, diameter, volume, and cross sectional area of the
Statistics, facts, data, and comparisons are absorbing and challenging to present in a way that is anything other than, well, boring. For purposes of an informational presentation, the statistics are unavoidable. However, in this
To collect data for a scatter plot, the healthcare organization will need to have at least 50-100 paired samples of data that is associated with the scatter plot. The data can be placed into a spreadsheet and then you can plot the data points on the diagram. The spreadsheet can be developed in a MS Excel file then we can use the Excel program to create a scatter plot with all of our data.
8. Review the following frequency distribution. Create a histogram either by hand or by using some other
Construct back-to-back stem-and-leaf plots and histograms and describe data, using terms including ‘skewed’, ‘symmetric’ and ‘bi-modal’.
A frequency distribution table is used for arranging data values and counting the number of time each value appears in a dataset. They can be used for both qualitative and quantitative variables. For this data pool I decided to use the subjects’ marital status because it is a qualitative, nominal level variable. (Polit, 23)
One of the best ways to display data and show trends is obviously done by tables and graphs. Their use can make it easier to convey and compare information, which can be very difficult to simply write about. Once again, this allows the readers to examine the data, instead of simply relying on the authors to explain. Additionally, tables and graphs allow the readers an opportunity to conduct side
Technology was significantly utilised to provide visual representation of the results in graphs, boxplots and also provide the measures of central tendency and spread. The utilisation of technology also made the calculation of the results easier, hence the use of technology was highly recommended.
There were 37 Likert Scale statements and two open-ended questions. The Likert Scale questions were on a 1-5 scale with the lower numbers representing disagreement and the higher numbers representing agreement. Data collection occurred using a random sample of 7 teachers from varying grade levels and subjects.
1. Draw 3 different graphs below representing the data in the table above. Circle the one you think provides the best representation of the results of this experiment.
A statistical chart was created to analyze novels read my students in a 12th grade Literature class. There were a total of four classes and the teachers of the literature classes were Dr. Adhanom, Ms, Zadnichek, SGT Kulokowski, and Mr. Radoslovich. Each Literature class had a wide variation of students per class ranging anywhere from ten to forty-five students. The point of the statistical model was to show the teacher’s name of the 12th grade Literature class, the number of students in the class, the total novels that were read, and the average of novels that were read per student. Thus, the statistical chart allows people to see what class read the most and least amount of books. In addition, the chart shows an average of books read per students.
The chart helps students identify the number of pennies that make one nickel, the number of nickels that make one dime and so forth. Another chart is also present to show the days of the week. There are also charts to help students identify emotions as well as different travel forms of going home. In total, there are more than 30 different props that this teacher incorporated in her classroom to enhance student comprehension.
The pie chart provided is similar to the table. The pie chart shows the percentage of students who exceeded, met and approached. It is also color-coded and above the percentage it shows and E and M or an A.
Statistics do not have an impact on students in the same way that contact with victims of injustice does, but statistics still help in giving learners an idea of the
I obtained the observed frequency table numbers above by having people take a survey I created. I then organized them into sections depending on what age and movie genre people have marked off. For example, I had 81 of the 216 people I surveyed that were 17 or younger. I did the same with the other age groups. After this I took each age pile and separated that into different smaller piles based on the movie genre that was marked. I had 16 piles in the end and the results are in the observed frequency table