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To describe experiment, design and model resulting from analysis.
An engineer is studying methods for improving the ability to detect targets on a radar scope. Two factors she considers to be important are the amount of background noise ("ground clutter") on the scope and the type of filter placed over the screen. An experiment is designed using three levels of ground clutter and two filter types. The experiment is performed by randomly selecting a treatment combination and then introducing a signal representing the target into the scope. The intensity of this target is increased until the operator observes it. The intensity level at detection is then measured. Because of operator availability, it is convenient to select an operator and keep him or her at the scope until all the necessary runs have been made. Furthermore, operators differ in their skill and ability to use the scope. Consequently, it seems logical to use the operators as blocks. Four operators are randomly selected. Once an operator is chosen, the order in which the six treatment combinations are run is randomly determined. The data are shown in the following table:
Operators
1
2
3
4
Filter Type
Ground Clutter
Low
90
86
96
84
100
92
81
Medium
102
87
106
105
97
80
High
114
93
112
91
108
95
98
83
Write a report to
i. Describe the experiment and the design,
ii. Discuss the results from your informal and formal analysis.
iii. Describe the model resulting from your analysis, and
iv. Discuss the conclusions you drew from part ii and iii.
Compute mean and standard deviation for sample of N = 8 females and sample of N = 8 for males.
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Construct a 99% confident interval for the standard deviation of the amount of vitamin B6 per pill.
The hypotheses tested by the one-way ANOVA F test - Evaluate the P-value of the ANOVA F test
For each of the 50 states and Washington, D.C., a number of statistics related to education are available for 1992
Suppose we wish to predict the crawling age of a particular baby when the average outdoor temperature is 25°F six months after birth.
Does this sample indicate a smaller average? Use α = 0.05 and assume a normally distributed population.
Based on the equation of the least-squares line, we use software to predict the average number of home runs hit per game per team for the year 2001. We obtain the following.
Describe and analyze your quantitative data and Briefly address the data analysis process.
Perform hypothesis testing on one variable's data.
The researchers planned to use simple linear regression to see if the age at which a baby was first able to crawl could be predicted from the average outdoor temperature six months after each baby's birthdate.
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