The goal of this lab was to test the central limit theory. The central limit theory is a process in which sample means can be collected and put together in such a way that the average of the averages can be taken. This allows, once enough samples are taken, for the average of the population to match the average of the sample close enough for any differences to not have any effect for the purposes of our lab. The larger the sample and the more samples taken, the more accurate the average of averages of the sample becomes to the population sample. In order to collect data, we used the years from pennies and the frequencies of those years to construct our tables. The goal of this lab was to educate us on how to use the central limit theory. …show more content…
We then gave the cup back and drew 5 pennies, 5 times, with shaking the cup in between trials. On our draw-36, we drew 36 pennies and returned the contents of the cup back to the population bag, which was shaken and received a new sample set 5 times. When adding the data into the spreadsheet we added with our own data collected, older data, which raised our number of trials. We then collected the min’s, max’s and mean’s for each category in the sample categories we also included the min of means, the max of means, the range of means, mean of means, standard deviation of means and the central limit thermos and the width that would be used for the graphs. While the population included the minimum, maximum, range, width, average, and the population standard deviation. For each category we included the class, class max, and the frequency except in the 36 category the class was not needed do to the class max being the same as it would have …show more content…
By following these formulas we calculated and concluded that this theory is true, especially with larger samples. However, during our experiment, errors occurred within the class data input. This was due to the fact that students wanted to get out of this lab quicker and incorrectly typed in the years that were written on the pennies. Plus, Jasmine wanted to make things “interesting” by adding incorrect data to make our lives “fun.” For example, some data could have been 2008 pennies, but were written down as 20008, which caused huge outliers. To address these issues, we looked at the max and mins which enabled us to see if there were outliers. From there we sorted the data, if there were outliers, to max and mins, and deleted THE ENTIRE ROWS of the incomplete data. This was necessary because if one data within that sample was incorrect, the whole sample was inaccurate and should not be
The purpose of this experiment was to identify which brand of mint gum holds its flavor the longest. The four brands I chose were Orbit, Trident, Ice Breakers, and Wrigley's Doublemint My hypothesis was that Trident brand would last the longest and Wrigley's Doublemint would last the shortest. I did not use any people in my test. I chewed the same amount of gum at a time and the gum was all the same flavor, mint. All the gum was bought at the same time from the same store. I chewed the four brands of gums between periods of time. When chewing, I timed myself with a stopwatch. When I believed the gum ran out of flavor, I stopped the timmer and recorded the time. My hypothesis was incorrect. Instead of Trident, Orbit lasted the longest. However
It is really interesting to break down the separate classes and find their similar details and their different details. Obviously the differences are greater in number and some of them fairly extreme. But that is to be expected.
For this statistical inference, the question was whether the means were truly different or could they have been samples from the same population. To do draw a conclusion, we must first assume normal distribution. We must also set the null hypothesis to m1 - m2 = 0. And per this assignment we must set the a-level at .05 and the hypothesis alternative to m1 - m2 ¹ 0; thus requiring a two-tailed test.
The objective of this lab is to become accustomed to using Logger Pro data collection software and the Lab Pro interface. The ideas of averaging constant data and finding the standard deviation will be introduced. This lab will instruct the use of different tools such as the Linear Fit and Statistics tools in Logger Pro. Another objective is to introduce the construction of tables and graphs in Excel. The software will work cohesively to construct organize data that is collected in the lab.
United States. National Center for Education Statistics. Long-Term Trends in Student Science Performance. Sep. 1998. Web. 2 May 2009. .
In this study, Øverås et al. (2014) experiment’s had two independent variables. The first independ...
3. U.S. Department of Education Institute of Education Sciences National Center for Education StatisticsInternational Year of Statistics 2013 (Statistics2013). "Fast Facts." Fast Facts. N.p., n.d. Web. 3 Dec. 2013. .
...n looking at the results, they found out that the learning curve was exponential. The researchers assumed that learning occurs while people study and encode material into the brain.
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.
Similar studies were done to a different set of college students and they tended to have the same results. After giving as much detail about each memory, the students were interviewed about what they may have written done about what they had remembered. During the last part of the experiment, each of the students were debriefed and asked to guess which memory they believed was false.
Murdock (1962) conducted another experiment in order to analyze free recall. Six groups of participants had different combinations of list lengths...
The experiments were quite simple, in that there was a seemingly harmless task to be performed, and the participants were instructed to choose the estimation of the lengths of a line when compared to two ...
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.
Perhaps the greatest endeavor that owes itself to induction is science. Its claim to be in the pursuit of truth, of empirical knowledge, is entirely dependent on the validity of inductive reasoning. As such, science has developed ways and means to guarantee the validity of its conclusions; this includes randomizing samples, choosing appropriately sized sample groups and the use of statistics to calculate whether something is merely possible or is probable. Each of these methods (and there may be more) needs to be examined.
c. Statistical Design: It concerns with the question of how many items are to be observed and how the information and data gathered are being