Statistics Experiment
Statistics
Hypothesis- In my investigation I plan to find out whether my theory
that year 10 pupils are better at estimating the length of a stick
than year 7 pupils.
Plan- In my investigation I plan to use secondary data gathered from
both year 7 and year 10 pupils, which I will then do a random sample
of which will be used to find the mean, median, mode, range as well as
standard deviation which I will then put into groups and frequency
tables to compare and from this I will hopefully be able to come to a
conclusion.
Aim- I am hoping to find if the statement that year 10 pupils are
better at estimating length than year 7 pupils is true and find
different ways of proving this. I am hoping to find a mean for the
both groups to compare where I will hope to find that the year 10 mean
is closer to the actual value (1.36m) than year 7 pupils and this I
hope will help me come to a fair conclusion. I am also hoping to find
the standard deviation for both groups and hope to find that year 10
pupils will have a smaller standard deviation than the year 7 pupils
because I believe it is more reliable because it shows less range
which means all of the pupils have answered fairly similarly because a
wide range means people where miles away with their guessing.
Sampling- I will number each piece of raw data and then I will use the
random search on my calculator. I will have to use a sampling because
there is too much data to work with and it will be random to make it
fair.
Because I will use a random sample I will need to find a certain
number of the population that I will randomly choose.
In the experiment “ Talking to plants “ from Mythbusters, potential problems include the use of greenhouses with no sound insulation, a non-homogeneous location and the use of only one specie to infer on a population. In another scientific study, researchers chose to use “ a noiseless growth chamber to prevent any effects from extraneous noise “ and the use “ growth chambers under continuous light at 28 c and 65-75% relative humidity “ in order to maintain a homogeneous location for all plants during the experiment (Jeong et al., 2008) . This helped further explain the findings because with the use of noiseless chambers you can assure that the only noise that the plant was receiving was the one given in the treatment and a valid conclusion
For our data set, we will explore the association amongst quiz 3 and the section that was given to us to evaluate for unit 10 Assignment 1. We will create a sample size which is 105 for this data set. Our predictor variable will be referred to within the class section because there are 3 class sections which make up our
Then, we would collect a sample of data from a number of firms regarding sales and average height of employees.
The two companies that I will be comparing in this project are McDonalds and Wendys. Both of these companies are competitors in the same industry. I am using the information from their 2005 Financial Statements.
I will be comparing five types of financial ratios through statement of comprehensive income and balance sheet, as follows:
In order to have a successful, reliable experiment you need sufficient data and evidence, reliable research, variables to test and a follow – up experiment. There are several types of variables you need to do an experiment. An independent variable is the manipulated experimental factor that is changed to see what the effects are. A dependent variable is the outcome. This factor can change in an experiment in reaction to the changes in the independent variable. An experimental group is the group of participants that are exposed to the change that the independent variable represents. The control group is participants who are treated in the same way as the experimental group except for the manipulated factor which is the independent variable (King 24). Proper data, evidence and research is also needed so the experiment turns out correctly and you know what you are testing. A follow – up experiment is not required, however it helps the validity of the conclusion of the experiment. Validity is “the soundness of the conclusions that a researcher draws from an experiment” (King 25). Conducting a follow – up experiment will help researchers and people alike see if the experiment worked properly, continues to help people and see how participants are doing after the experiment is over.
This means they may offset the average value for this data had I chosen the mean over the median. Therefore, ultimately the median in this scenario will be a more accurate representation of the average.
n hypothesis of the experiment is that the group containing four members will perform better than the group containing two members. This is the foundation from which we have conducted our experiment.
Describe the differences in the results between the groups in the study and support your description with examples from the study
Answer: The fact that an investigation of local restaurants was conducted in which 150 were selected randomly indicates that this is a sample. This sample indicates that out of the 150 randomly selected, 42% of this random selection out of the total population of restaurants possessed series health code violations.
In order to test this hypothesis 60 students will be randomly recruited. In order to get my 60 participants, I will pick students who id begins with the numbers 08. A total of 30 females and 30 males will be chosen, all psychology undergraduate students from Texas A&M International University, largely in the age range 20-25 years. No payment, other than receive 5 points of extra credit, will be offered for participation.
The Collier Encyclopedia’s definition for probability is the concern for events that are not certain and the reasonableness of one expectation over another. These expectations are usually based on some facts about past events or what is known as statistics. Collier describes statistics to be the science of the classification and manipulation of data in order to draw inferences. Inferences here can be read to mean expectations, leading to the conclusion that the two go hand in hand in accomplishing what mankind has tried to accomplish since the beginning of time – predicting the future. It is the notion of science that this is the most accurate way to predict events yet to occur and this has lead to it being the most widely accepted “fortune telling'; tool in the world today.
Often uses random sampling to select a large statistically representative sample from which generalizations can be drawn.
demographically ¡V 14 to 19 year olds as primary and 20 to 35 year olds as secondary targets;
Group Discussion: I will then ask the class to share how they have determined which type of assessment to use in past lessons.