Unit 3 Histograms Lab Report

7. Question : In a frequency distribution such as a bell-shaped curve, what does the vertical height of the curve indicate?

Answer: - A choropleth map resembles a histogram in space. It uses different color shades or patterns and classifies the frequency of values of a given variable for each area in ascending order.

The resource histogram is a column chart that shows the number of resources assigned to the project over time. The human resource for this project consists of outside consulting firm and user representatives need for testing. The consulting firm has junior and senior testers, and the user group has workers and managers. The testing will be done by both groups for six weeks. The project time frame is as following:

In this lab experiment our main focus was to get skillful in using tools such as the metric ruler, balances, thermometer, and graduated cylinder to capture measurements of length, mass, temperature and volume. Additionally, this lab helped us to become more familiar with the uncertainty of measurements, as well as becoming efficient with rounding our measurements to the correct numbers of significant figures. Our results are measured consistently with rounding to the closest answer we could possibly acquire as the data can tell you.

The histogram has one spike that shows that high concentration of data values is below this point. This histogram might be representing a seasonal product, which customers are ordering high volume of product until they run out and order one more time. Also it might be showing the histogram of a car brand were less expensive cars are sold frequently, but in average the middle range cars are bringing to the company more capital and high luxury cars are sold more expensive and less frequently.

You are all interested in something. Explore the literature (magazines, books, web sites, etc) for your interest area and find an example of the use of graphical statistics. I suggest a Google search using the Images option, and select some interesting and visual display of data. Identify the related materials that support the graphic and containing some form of statistical analysis and/or display. Review your materials using the framework offered below.

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

11. The frequency histogram below describes the distribution of the lifetimes of 220 light bulbs.

The bar graph was introduced after the picture graph. The information used in the picture graph was transferred to a bar graph to show the students the same information in a different format.

Step 1 Divide the probability distribution curve into N number of intervals depicted in figure 4.1

5. In HANESS, the men age 18 and over had an average height of 69 inches and an SD of 3 inches. The histograms is show below, with a normal curve. The percentage of men with heights between 66 inches and 72 inches is exactly equal to the area between (a) and (b) under (c). This percentage is approximately equal to the area between (d) and (e) under the (f). Fill in the blanks.

The two independent variables were luminant cue patches (light cue, dark cue and equiluminant cue) and location of the cue and target (valid side with cue and target on same side and invalid side with cue and target on opposite sides). The dependent variable was participants’ reaction time in millisecond.

The pictograms can be both two dimensional and three dimensional. Pictograms can be put to different sizes to manipulate the reader’s view. If certain pictograms take up the most area, readers may think that pictogram is the largest out of all the other values. People see the biggest picture and think it represents the biggest value, but really it could be smallest value, just overemphasized by the researchers. Truncated graphs that have y axis not starting at zero. Truncated graphs can make it appear that there is a significant difference between data when there is not actually a significant difference. A y axis break can have a similar effect, making bars in bar graphs much shorter. This could make pieces of data a lot less massive and significant than they really

Within the rectangle, samples from different collection areas also exhibits their own aggregated characters. For example, a) all samples falling into the rectangle from area H are gathered in the right side of the chart circled in a yellow ellipse; b) It is almost same appearance to samples from area B; c) None of the samples collected from area Q falls outside the majority and except for two sherds, others are centred into one group circled in a green ellipse; d) except for one sherd falling outside the rectangle, samples from area S are aggregated in the very left side within the rectangle circled with a mustard ellipse which is next to the green one. e) None of the samples from area P falls outside the majority, however, it seems all of them cannot be gathered into one group, so except for two sherds in the green oval, there are one big and one small ellipses are drawn for them; f) this is the same as samples from area P, those from area K are similar, however, there are six

histogram is plotted using the actual dataset. It can be seen for both training and test