Module 3: Lesson

The purpose of this assignment is to critique and evaluate the chosen article in terms of strengths and weakness and to demonstrate an understanding of an international educational approach to Early Years education. In addition it will explore the similarities and differences of the international approach to the current Early Years Foundation Stage (EYFS) working within my setting. Furthermore it will critically reflect upon the strategies within the approaches to identify possible issues and limitations of systems.

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

Introduction: Today scientists put acquired data into a form of a graph. This said graph is designed to help make predictions and furthermore, study and understand the experiment and its contents at hand. The Graphing and Estimating lab involves just that. The lab is designed to collect data from several tests involving burn time of a candle.

Finally we got all our number and determine the slope, and the intercept in order to find out the forecast for the next

Linear regression is an approach for modeling the relationship between a scalar dependent variable Y and explanatory variables (or independent variables) denoted X. Function $f(X,W)=Y$ (shown below) can be learned to predict future values.

Describe the experimental method, state its advantages and disadvantages, and distinguish between independent and dependent variables.

4) Use cubic regression to determine an equation for the data (or lwh where (12 – x) represents the sides and (x) represents the height of the box).

Procedure : Watch each part of the experimental demonstration and make predictions about what will happen in each scenario.

"There are several different kinds of relationships between variables. Before drawing a conclusion, you should first understand how one variable changes with the other. This means you need to establish how the variables are related - is the relationship linear or quadratic or inverse or logarithmic or something else" ("Relationship Between Variables ", n.d)

This conclusion has been made by interpreting r and r2 within the problem and comparing them with the other explanatory variables. First, “r is a measure of correlation between two variables”, so this means the closer r is to one the closer the two variables relate. Also, “r2 is a measure of how well a regression line approximates the data points and a r2 of one indicates that the regression line fits perfectly”, so again the closer this value is to one the better the correlation. In this we will be using the explanatory variables which are the weight of the pumpkin, the pumpkins waist size, and the amount of grooves the pumpkin has. The response variable is the amount of seeds each pumpkin has.

In order to determine the best course of action, we need to first understand how we have come to this point and why the project is not providing the expected results. The following questions will help us in our discovery process:

Describe the experimental method, state its advantages and disadvantages, and distinguish between independent and dependent variables.

In Part 1, I conducted a statistical experiment to determine if a linear relationship exists between each of my independent variables and my dependent variable, which were biological in nature. My independent variables were height (inches) and age (years). My dependent variable was weight (pounds). The goal of my experiment was to observe a linear correlation between an 18-22 year-old male’s height and weight. I collected my data by randomly selecting a sample size of 25 male individuals who attend Montclair State University. The best method of prediction would

To develop problem solving and experimental skills, for example, information is accurately processed and presented, experimental procedures are planned, designed and evaluated properly, producing valid results, recording results, and valid conclusion is drawn.

A mathematical investigation is defined as a collection of worthwhile problem-solving tasks that has multi-dimensional content, is an open-minded, permitting several acceptable solutions and is often embedded in a focus question. In addition, a mathematical investigation involves a number of processes, which includes ---- researching outside sources to gather information, collecting data through such means as surveying, observing or measuring, collaborating with each team member taking specific jobs and using multiple