Fish Memo

1. Make an observation – Based on the data in Table 4, discuss what patterns you observe in regards to dissolved oxygen content and fish populations in

The Barbie Bungee lab was conducted in order to find the association between the amount of rubber bands and the distance the Barbie bungeed. Before performing the final experiment, the group conducted an initial investigation to get data that could be analyzed to examine the comparison from the amount of rubber bands to the length Barbie was able to bungee. In the investigation rubber bands would gradually be added one by one starting at two rubber bands. Each time a rubber band was added, three trial bungees were done and the lengths the barbie dropped were recorded. Using data collected from our background investigation, the group used excel to create a sheet displaying the data in a table, a graph showing the correlation constant, the line of best fit. The line of best fit was in slope-intercept form (y=mx+b) where y represents the length of the trial average; m represents the slope

- To test this hypothesis my experimental approach would be testing different bodies of water or testing one and just testing different areas while tracking the fish.

Dunbar, G. (2005). Evaluating Research Methods in Psychology. New Jersey: John Wiley & Sons Inc.

Develop a hypothesis relating to the amount of dissolved oxygen measured in the water sample and the number of fish observed in the body of water.

Because of the method of monthly data collection, absolute randomness could not be obtained; however, it was decided that 5 iterations was sufficient because the sixth iteration showed a decrease in the quality of the residual plots. The first test performed was the p-value test of the individual variables. A p-value is the probability, ranging from 0 to 1, of obtaining a test statistic similar to the one that was actually observed. The only input that did not have a p-value less than 0.05, which was the chosen significance level, was the “Number of Walmarts” variable; the number of Walmarts has no specific effect on the output, property crime rate. The R2 of the analysis, or the coefficient of determination, provides a measure of how well future outcomes are likely to be predicted by the model. R2 values range from 0 to 100% (or 0 and 1) and the

The article discussed the changes in many habitats due to anthropogenic activity. Anthropogenic is an adjective that describes changes in nature due to the people. Next, this article discussed climate change and the impact that it is having on species like clams, and fish due to ocean temperatures rising. The article also addressed carbon dating of fossils to look for cause of extinctions. Human development and agriculture have had a tremendous impact on the population of many species that are terrestrial. Deforestation is a big problem that has caused a decline in the bird species. Commercial fishing in many areas has led to a decline in fish populations. Furthermore this article

2.  Develop a hypothesis relating to the amount of dissolved oxygen measured in the water sample and the number of fish observed in the body of water.

2. Develop a hypothesis relating to the amount of dissolved oxygen measured in the water sample and the number of fish observed in the body of water.

The U-high freshman biology class designed an experiment to test the question; based on the number of micro invertebrates, what is the water quality of the U-high creek? On 9/22/14, the day of the experiment, the conditions were recorded at 10:05 AM. The temperature was 55 degrees with a 6 mph wind, and 62% humidity. One of the observations of the creek is that there was some garbage and trash on the banks, although there was minimal amount. Another observation was that there was run-off leading into the creek from roads, nearby parking lots, and neighboring yards. There were about 40 small fish, only about 2-3 inches long swimming north against the current. The water was also very clear, and the bottom was clearly visible. Based on the observations

5. The standard deviations of the groups are different between these two data sets. This implies that both girls and the boys groups have a large variability in their data. The reason is that the standard deviation for boys is 5.9 and the standard deviation for girls is 5.0. This means the data has a wide range of data within the mean.

Fry Brothers heating and Air Conditioning, Inc. employs Larry Clark and George Murnen to make service calls to repair furnaces and air conditioning units in homes. Tom Fry, the owner, would like to know whether there is a difference in the mean number of service calls they make per day. Assume the population standard deviation for Larry Clark is 1.05 calls per day and 1.23 calls per day for George Murnen. A random sample of 40 days last year showed that Larry Clark made an average of

In this essay I will describe correlation is a measure of association as well as describe different methods of establishing a correlation between variables. In this essay I will also explain advantages and disadvantages of each method, were each must be applied, and provide particular circumstances and examples in which a researcher may want to establish correlation

b) The same article reported the mean size was more than 2100 square feet? Can we conclude that the mean size of homes sold in the Gulshan area is more than 2100 square feet? Use the 0.05 significance level. What is the

Biostatistics is important to study as undergraduates delve deeper into their studies of Biology and learn how the study of life is integrated into more than just their college-level science courses. Looking into the use of statistics at a scientific level at this stage of our education is preparing determined and enthusiastic students for the world of medicine as one day we will have to read and analyze sets of data and more than likely give the statistics of our patients’ issues. Biostatistics is allowing students to explore the world of medicine using a different approach, mathematically and critically. The purpose of this experiment was to determine if a significant multiple regression exists between my 3 quantitative variables, Weight, Height and Age and to determine the best regression model to use when making predictions.