Lab 1 – Introduction to Science
Exercise 1: The Scientific Method
Dissolved oxygen is oxygen that is trapped in a fluid, such as water. Since many living organism requires oxygen to survive, it is a necessary component of water systems such as streams, lakes and rivers in order to support aquatic life. The dissolved oxygen is measured in units of parts per million (ppm). Examine the data in Table 4 showing the amount of dissolved oxygen present and the number of fish observed in the body of water the sample was taken from; finally, answer the questions below.
QUESTIONS
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
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Answer = Line graphs are good for demonstrating trending analysis and also work well for comparing different data.
6. Analyze results - Graph the data from Table 4 and describe what your graph looks like (you do not have to submit a picture of the actual graph!).
Answer = The first part of the graph resembles a bell shape. At the latter part of the graph it takes a sharp increase.
7. Draw conclusions - Interpret the data from the graph made in Question 7. What conclusions can you make based on the results of this graph?
Answer = The graph demonstrates that as the dissolved oxygen levels increase the fish population will increase. The fish show strong growth from 6ppm to 12ppm dissolved oxygen. As the levels reach 14ppm to 18ppm the have a repeating effect as 6ppm to 12ppm.. With this being said, it shows that fish will show growth progress to a certain level of dissolved oxygen and then level off.
8. Draw conclusions – Assuming that your experiment produced results identical to those seen in Table 4, would you reject or accept the hypothesis that you produced in question 3? Explain how you determined this.
Answer = My hypothesis is that there is a direct correlation between the number of ppm of dissolved oxygen in a body of water to the number of fish living in that water.
References
Sharma S, Jackson DA, Minns CK,
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.
Describe briefly what each statistic in parts a. to c. tells you about the data.
Beaver Brother, Inc. achieves their wanted information by collecting 25 samples of 5 observations and recorded the data in a table. The task is to use these collected samples to create; means, graphs, and tables to present the data and draw conclusions about the production
I4 Results: Present the data collected in a table of results AND in a graph.
12. Which conclusions appear to be well supported by the pattern of results; and which conclusions do not appear to be well
Decomposition of submerged plants may also contribute to low level of dissolved oxygen, Phosphorus can be introduced into water system by discharges from municipal and private wastewater treatment, cropland and urban storm water runoff, and natural decay of vegetation. The discharge of pollutants from different point sources and nonpoint sources into a river segment can add to its Carbonaceous Biological Oxygen Demand (CBOD) loadings, leading to an oxygen demand that may decrease DO below useable
In marketing, several types of graphs are used to understand trends, growth of sales, and other data. The types of graphs that are used are bar graphs, line graphs, circle graphs/pie chart, and frequency tables. A bar graph is a drawing made up of parallel bars whose lengths are proportional to the qualities being measured. A line graph uses a line that joins points representing changes in variable quantity, usually over a specific period of time. A circle graph or better known as a pie chart, is a geometric representation of the relative sizes of the parts of a whole. A frequency table lists numbers, fractions, or percentages observed for different intervals. Lychee Lou uses graphs in marketing because it is a simple and easy way to observe
5. Restate your predictions that were correct and give the data from your experiment that supports them. Restate your predictions
zone".(figure 11) In an uptrend, as with an uptrend-line, the moving average line shows more instances
Next you will need to decide on how you will obtain and analyze your research data. This process will be determined by the type of research problem that was define in the beginning of the research development and revolve around your hypothesis or desired results (M., 2004). You will have annotate and share the results of your data collection. This after action report of the obtained data will allow the researcher to determine whether or not the desired results were obtained or will there need to be some follow on research in order to generate expanded results.
Stock price charts (called stock charts or charts for short) plot the share price of a stock over a certain timeframe. Stock charts also typically include the share volume, or the number of shares traded. Traders use software that superimposes indicators, or statistics, directly onto price charts. They can then interpret these indicators to help predict whether the stock will trend up (increase in price) or trend down (decrease in price). One of the simplest indicators, the trendline, plots a line from the first price to the last (most recent) price on a stock’s chart and is thought to indicate the direction in which the stock will likely trade next.
(15) Write a paragraph on the findings of your analysis. Include the quantitative results of your analysis. Be sure to use units that make sense, and state a comparative quantity for reference (The North Cascades Park Complex is x acres and x acres of this area is occupied by sub-alpine fir; Seattle people eat an average x number of cupcakes per year compared to the x number of cupcakes eaten per year by the average Seattle-dwelling puppy).
In this section you present your findings. Conclusions are made after the analysis of the
3.1 Demonstrate collected data and information through various graphs using any statistical software e.g. spreadsheet
(a) Explore the data. Report on the distribution of values in the attributes and how they individually relate to the outcome of interest (dependent variable).