Lab Report Biology

The lab uses the measurements of a wooden dowel in length and diameter to collect data in order to interpret data in report form. The data is used to produce statistical data and how to correctly present it. A ruler and micrometer were used to measure the dimensions. Spreadsheets are then constructed in order to generate standard deviation, mean, median, mode, frequency, as well as variation of length, diameter, volume, and cross sectional area of the

The results of this lab helped determine which tools are best to measure different objects. In Station 1, a yellow metric ruler, an orange metric ruler, a wooden ruler, and a measuring tape was used. The tool with the highest degree certainty was the orange metric ruler. This is because the orange ruler had tick marks for each 10th(0.1). The tool with the lowest degree of certainty was the measuring tape because it kept moving and it was difficult to keep it straight. For Station 2, a wall clock, a digital stopwatch, and a timer was used. The tool that had the most accurate measurement was the digital stopwatch because it measured into the 10th(0.1) place automatically. The tool that was least accurate was the wall clock because

If the experiment could be done again, the subjects could all be boys' upper limb length and height or could all be girls’ upper limb length and height. Then, the student could see the difference between the girls and boys upper limb length and height. An error that could have happened is that

First, each person’s name, age, and sex will be recorded in the table below. Then, each person’s individual nose length and pinky finger length will be measured in centimeters. The lengths of every person’s nose and pinky will be recorded in the table below. The lengths will be subtracted from each other to find the difference of both of the measurements. The difference

The objective for this lab was to determine an experimental value for pi by measuring sixteen different round objects, and calculate the percent error between the experimental value and the accepted value.

The investigation is shown to be valid as it incorporates the use of proper equipment and the investigation correctly tests the hypothesis. The use of proper equipment determines the validity of the investigation, due to the fact that the correct equipment ensures the appropriate units of measurements, for example the use of a ruler as the appropriate instrument to measure the length of the dependent variable. The experiment was also valid as the investigation had measured what it had intended to measure which was testing whether the Home-brand paper towels are more absorbent than the Kleenex Viva paper towels, the procedure presented actually did test the hypothesis by comparing the absorbance of the paper towels.

The purpose of this experiment was to find out how does height affect the density of a human? We made three hypotheses to predict what would happen in the experiment.The null: Height doesn't affect density increased height results in increased density , decreased height results in decreased density.

Comparing The Resting Heart Rate and Recovery Time Of Males And Females After Physical Activity

Our image of physical science is determined by science texts. The representation of scientific measurement in these books is often misleading. Results of measurements are often displayed in tables. These measurements seem to have the function to confirm the theory.

The visual response was tested. The student held the ruler at the thirty-centimeter mark so that the zero centimeter end was just at the subject’s index finger.

The lab that the class will be doing is comparing foot and height sizes to girls and boys, and seeing that if boys have an overall bigger size than girls. We will each put a meter stick up to the body and by the foot and measure from there. This lab will be measured in centimeters(cm). My hypothesis is that boys’ sizes in general will be greater than girls sizes.

Data analysis: *There is a value of 60cm and I chose not to take it rectify it as it could be a valid data point. 13 values were corrected from metres to cm. E.g. 1.7 to 170.

The replication did not go as planned, according to my results there is little to no variation in a person’s numerical concept once they hit a certain age, and a certain amount of variation. As all students were between the ages of 18 and 25, this may have been a cause for the lack of variation between the years in education.

A convenience sample of 40 students (M=10, F=30) aged 16-18 was selected from a senior secondary college.

Table (1) illustrates the frequency of the students ' ages. It is clear that the range of the students ' ages is between 17 and 19 years old and the height number of the students whose ages are 18 and that account for 46%. Following by 17 years old students that account for 35%, while just only 19 students whose ages are 19 years old. The data in the table can be illustrated in the following graph: