Molecules and Processes of Life Activity 6 - Cellular Respiration and Lab Report - 1

Molecules and Processes of Life Activity 6 - Cellular Respiration and the Effects of Pollutants on Its Rate - Lab Report Example s carried out using yeast and the focus of the experiment was given to the amount of gas that was being produced to determine amount of carbon dioxide in the produced gas. The gases are produced after the yeast cells carry out respiration. The experiment looked at how carbohydrates affect respiration that occurs in cells. This was investigated by addition of sugar to the yeast after the first test was carried out. The addition was aimed at production of more gas especially carbon dioxide which determined that the rate increased in cellular respiration. Pollutants in the experiment were expected to have an effect on the cellular rate of transpiration (Audesirk, Audesirk & Byers, 2006). More different pollutants were added to the yeast and the amount of carbon dioxide that was produced measured to determine the effect of the pollutants on cellular rate of transpiration. The main aim of the experiment was to determine the role of cellular respiration in the processes of life. Respiration in cells is defined as the course of energy from chemical in food is obtained and then converted to an energy form that can be utilized by living organisms in the course of living. The objectives of the experiment were to determine how the rate of cellular respiration is affected by the incidence of carbohydrates and also whether the rate was affected by pollutants (Jà ¸rgensen & Fath, 2008). Hypothesis of the experiment was that an organism will be exposed to a higher rate of cellular respiration with availability of carbohydrate than when there is no carbohydrate. Another hypothesis was that an organism will have a lower rate of cellular respiration with a source of carbohydrate and a  pollutant than when there is a source of carbohydrate and without source of pollutant. The pollutants are thought to play a role in interruptions that occur in cellular respirati on. There are two types of cellular respiration which both depend on energy. The two types of respiration include aerobic

Statistics Assignment Example | Topics and Well Written Essays - 750 words - 2

Statistics - Assignment Example For ratio or interval scale data, the median is suitable than the mean if the sample or population size is small and the data is scattered (Cohen 229). The concept is interesting because it identifies ignorance that lead to unnecessary or inaccurate data description that is common in statistical reports. It has informed me of the need for precision in reporting data through selection of a single and suitable descriptive statistics for reporting. Pearson correlation helps in investigating and understanding possible associations, strength of association, and directions of associations between a pair of variables. Investigating the relationship between households’ weekly income and corresponding weekly expenditure is a potential study for the Pearson correlation. In the study, weekly income is the independent variable, X, while weekly expenditure is the dependent variable, Y. A stratified random sampling design is be used to identify participants from different ranges of income and paired data recorded for each household. Area of residence, with the effects of social class, is the basis of stratification and correlation analysis informs data analysis with r and r2 values as the key statistics. A positive r value, such as +0.7, is expected and this shows that household income and income expenditure have a strong positive correlation. This means that increase in the value of one variable leads to corresponding increase in the value of another. The r2 value indicates reliability of the proposed relationship and shows percentage of the data that the relationship explains. In this case, r2 is 0.49 and means that the correlation coefficient explains 49 percent of the analyzed data (Weinberg and Abramowitz 130). T-test for independent samples can be used to investigate effects of training on an organization’s sales representatives. Two groups would be involved in the study. One group, the treatment group, is a sample of 20 sales representatives from a