Sizing Data River Case Study

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.

Denote by the average heights for males and females, respectively. Here are the two hypotheses:

have different body types. The uniform would fit each person differently and on some it wouldn’t

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

Depending on numerous factors, such as topography and psychology, the riflemen carried anywhere from 12 to 20 magazines, usually in cloth bandoliers, adding on another 8.4 pounds at minimum, 14 pounds at maximum” (13).

2. EPA highway driving gives 13miles per gallon and city 8, but when put in top speed mode gives 3 miles per gallon per minute or it drinks 1.4 gallons of fuel per minute.

Figure 3: The graph shows the differences between standard lengths of population A and B. It is easy to see the difference in size between the populations.

7. This practice problem uses the data contained in the file named Ch. 3 Data Set 3. There are two variables in this data set. The data sets can be found through the Sage Materials in the Student Textbook Resource Access link, listed under Academic Resources. Using IBM® SPSS® software, compute all of the measures of variability you can for height and weight. Copy and paste the output from IBM® SPSS® into this worksheet.

In the High School Longitudinal Study database the variables are measured by a number. Measurement variables could be referred to as quantitative variables or numeric variables. These variables could be nominal, ordinal, interval or ratio variables. In most cases a researcher would be most interested in the dependent variable. Examples of dependent variable are usually weight, height or length. Examples of independent variables are time, age. Things that would cause the dependent variable.

In the 7th Century BC a new era of warfare strategy evolved. Before this new strategy, foot soldiers (known as hoplites) engaged in battle in the form of one mob for each army which on the command of their generals runs at each other and proceeds to hack blindly at the enemy with little to no direction other then to kill the enemy in front of them. This proved to be very messy and the tide of battle depended mostly on emotion and size of an army. In the name of strategy and organization, the phalanx was developed. A phalanx is simply defined as a line formation with its width significantly larger then its depth. The depth of the phalanx is a variable which some suggest was decided by the army itself rather then by the leaders of the army.

Use the two articles assigned by your facilitator to identify the following data collection, analysis, and measurement elements for the studies. Limit each box to no more than three sentences.

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

They had scale armor on their infantry

What were the source of the data collected? For example, who were the participants? What was the sample? What sites for research data collection were used? And/or What documents were studied?

b. Sample selection techniques and control of constant variables (e.g. Are samples randomly selected. What attempts are made to control variables).