Discussion 1-Describe the pattern of results by the graph you have drawn. There was no change in length at 0%, the potato cylinder stayed 40 mm, however at 3% the potato decreased by 24mm to become 36 mm. At 5%, the potato’s length decreased by 3 mm to become 37 mm in length. Therefore, there is a negative correlation in the graph. At 0%, there was an increase of 12.32% in the potato cylinders mass but at 2%, the potato cylinders mass decreased to -31.02%. At 5%, the potato cylinders mass decreased -26.65%. There is a negative correlation in the graph. 2-Discuss the reliability if the results when compared to other groups. Use examples. When compared to other groups, the results of the weight change were mildly reliable. For instance, the 2 % solution percentage results for the groups were -32.35%, -30.7% and -30%, these are all similar and so are reliable however n some results, like the 1 5 solution, group 1 had -17.98% and group 3 has -17.7% but group 2 had -32.5%. So, because of these differences the results are not reliable. …show more content…
Systematic errors are errors within the equipment such as measuring cylinders which may not be exact or scales which could be damaged and so give incorrect weights. Random errors are those made by human errors such as having parallax errors distorting measurements, temperatures in the room affecting results or slow reaction times when stopping a stop watch or placing things in solutions. Systematic and random errors can be reduced by many repeats of the whole experiment and then averaging the results and also, decreasing as many variables as possible by using precise
1. Use the graph below to predict what the results will look like if the null hypothesis is
Based on the data, the number of pill bugs on the dark side is higher at almost every minute compared the number of bugs on the light side. In the beginning, the pill bugs are evenly spread out on both sides. However, as time goes on, the number of pill bugs on the dark side increased rapidly, while the number on the light side decreases. Based on the graph, starting at about three minutes, the number of bugs on the dark side begins to increase significantly. The pill bugs quickly react and choose a best fit environment for themselves. Eventually, at nine minutes there are nine pill bugs on the dark side and only one on the light side. At the end of ten minutes, all ten of the bugs are on the dark side. If the experiment went on for a longer
Slide 17: This curve demonstrates a one-tail hypothesis with the critical region representing 5% showing a negative relationship.
Using a measuring tape on the wall each member of the lab group separately stood with either side against the tape and extended the arm beside the wall as high as possible. This height was recorded in centimeters. Next each lab member separately applied chalk to their fingertips, crouched down beside the tape on the wall, and jumped as high as they could while hitting the measuring tape at their highest point. This measurement was again recorded in centimeters. Then the height the lab member’s arm extended while standing was subtracted from the height when they jumped. This number denoted the vertical height jumped. For the jump height measurements a scatter plot was constructed. In order to do this, the data was again entered into excel, highlighted, insert chart and the first scatter plot choice was chosen. It was then that it was necessary to edit our axes and other parts of the graph. The x-axis was right-clicked and format axis was selected and fixed was selected and 20.0 was entered into the blank. Following this, a trend line was added to the graph by right clicking on a data point. A drop down popped up, and from there add trend line was selected from the choices.
The reasoning behind this experiment is the examine whether the rate of osmosis is changed due to a change in temperature. It was hypothesized that the rate of osmosis will increase as the temperature of the sucrose is increased. The rate of osmosis was tested by using the different jars full of different temperate water and testing how high the water rose on an osmometer over a span of 20 minutes. An osmometer is a tool used to measure rates of osmosis. The different temperatures tested on a sucrose solution were 5 degrees Celsius, 20 degrees Celsius, and 37 degrees Celsius. Rates of osmosis were higher in the hot water than in the cold water and control. The results showed that the rate of osmosis increased as the temperature increased, henceforth the hypothesis was supported. In conclusion, the experiment showed how changes in temperature affect the rate of osmosis.
6. Why is the black line so much more variable than the red line? What 's the difference between the data they show?
A scatter plot diagram provides a graphical observation of how two different variables are related to one another. Looking at the data collected for credit balance of customers along with the data collected for income of customers, it’s easy to recognize that there is a correlation between the two variables. The linear positive slope indicates that an increase in the credit balance correlates with an increase in income.
Overall the mass of the potato slice for the groups went down during the experiment. The ranges of weight change warried from around 0.2 to 0.3 grams
4. Take a piece of dialysis(as cut earlier), find the mass of the dialysis, and the zero out the scale on
Knowing this information, you need to first tell me, and then show this in your graph:
Effect of Sucrose Solution on Osmosis Aim: The aim of the experiment is to show how varying the concentration of sucrose solution affects osmosis by changing different molar solutions of sucrose and water and how it affects the potato. Introduction: In this investigation I will be exploring the effect of varying concentration of sucrose sugar solution on the amount of activity between the solution and the potatoes. Osmosis is the movement of water molecules across a partially permeable membrane from a high water concentration to a low water concentration.
The thirty data sets were plotted into a scatterplot and a linear regression analysis was used to show the
This experiment was used to examine the hypothesis that: Osmosis is dependent on the concentrations of the substances involved.
If the solution contains only sucrose then the osmotic pressure will increase substantially. This would represent a hypotonic solution because more water molecules are entering the cell meaning the solution contains no invertase. If the osmotic pressure has a slight increase than the solution contains sucrose and invertase due to the rate of the sucrose being broken down, however the cell will overtime begin to shrink. If the osmotic pressure remains close to the same than the solution contains no sucrose, containing only water and invertase. We predicted that because the height of the fluid in the osmometer tubing was increasing only a little bit our blue solution was hypertonic and contained invertase and sucrose. The invertase was able to break down sucrose into glucose and fructose which were small enough to be able to leave the cell membrane. This would reflect a hypertonic solution. We predicted this would cause the cell to shrink in size and the height of the fluid would never increase.