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Compare Coca-Cola and PepsiCo
Compare Coca-Cola and PepsiCo
Compare Coca-Cola and PepsiCo
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The goal of this experiment is to see if more college students prefer Diet Coke or a bargain brand Diet Coke. A single blind taste test was given to everyone in the class to determine which soda they like better. A Bernoulli distribution was used to determine which brand was conducted to each participant first. This process insures that the samples given to the subjects are random as possible and to cut any bias. The participants were given the two random samples and were asked to tell which was liked better. The results of this test were recorded then analyzed. From the data, the statistic of people who preferred the Bargain brand was 6/20. This means that the majority of the subjects preferred the real Coke brand over the Bargain brand. A hypothesis test was conducted to test the hypothesis that Diet Coke and a Bargain brand coke are equally …show more content…
The materials needed to conduct this experiment included 3 to 4 cans of store brand diet coke and name brand Diet Coke, a sharpie, small Dixie cups, and cardboard trifold. The experiment was set up as a single blind experiment. The administrators knew what Dixie cups contained the name brand coke and what Dixie cups contained the store brand, while the taste testers did not. First, the store brand and the name brand had to be assigned either Z or Y using the Bernoulli distribution. To make sure the assignments were random a computer generator was used through the stat crunch program. The Bernoulli parameter used for this Bernoulli distribution was 0.5. This means that there is an equally likely chance of getting a 0 or a 1 as a result. If the result was 0 the bargain brand would be called Y and the name brand would be called Z. If the result was 1, the bargain brand would be called Z and the name brand would be called Y. This made sure that the participants did not know which coke they were
In this observation project the results will show and discuss that of a natural observation. When presented with a choice of a snack, such as a healthy option or unhealthy option what will most people choose? In the second half of this observation, A variable will be added in order to change the behavior.
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
My hypothesis for the penny cleaning with the chemicals experiment was accepted. The hypothesis was; “If a penny is placed in salt and vinegar, then it will get cleaner than the other chemicals being used”. The data used from the experiment that supports the hypothesis was that the salt and vinegar chemical cleaned a penny the best it had a 90 out of 100.
In this experiment, there were several objectives. First, this lab was designed to determine the difference, if any, between the densities of Coke and Diet Coke. It was designed to evaluate the accuracy and precision of several lab equipment measurements. This lab was also designed to be an introduction to the LabQuest Data and the Logger Pro data analysis database. Random, systematic, and gross errors are errors made during experiments that can have significant effects to the results. Random errors do not really have a specific cause, but still causes a few of the measurements to either be a little high or a little low. Systematic errors occur when there are limitations or mistakes on lab equipment or lab procedures. These kinds of errors cause measurements to be either be always high or always low. The last kind of error is gross errors. Gross errors occur when machines or equipment fail completely. However, gross errors usually occur due to a personal mistake. For this experiment, the number of significant figures is very important and depends on the equipment being used. When using the volumetric pipette and burette, the measurements are rounded to the hundredth place while in a graduated cylinder, it is rounded to the tenth place.
To prove the two hypothesis the researchers present the participants with a series of opportunities to cheat, but then surprise them with an additional series of cheating opportunities. To increase their interest in participating the contributors obtain $.10 for each flip of a coin, but only if the side up of the coin is “heads”. The participants have the opportunity of flip the coin 7, 10 or 13 times, the flipping of the coin happens privately, and they are told not to cheat. The researches then tried to prove the hypothesis in 4
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 this experiment only one factor is to be changed to make it a fair
Table 4: Chi-Square Tests-3 (education vs brand preference for suits) Since the significance value is greater than 0.05, we accept Ho and conclude that there is no relation between education and brand preference for suits.
I plan to prove that the majority of people that invest money into footwear do so because of style. People usually don’t choose a pair of shoes because of comfort, color, or any other means at all. They usually base their decision of purchasing a pair of shoes on style. There are three tools that I will use during this experiment that will help me out. These tools will be comprised of surveys, interviews, and observations. Through survey’s I will have a sheet of paper with approximately eight questions on it. These questions range from the subjects personal preference when it comes to purchasing a pair of shoes. Whether they do it for comfort, style, color, work related, price, or even none of the above at all, to how many pairs of shoes that these individuals currently own. This will give me a general idea of what goes through peoples minds when they purchase a pair of shoes. Then I will use my observation skills. I plan to sit in the mall since it’s the best public place for this experiment, and observe what brand, color, and style of footwear the general public wear. I will more than likely sit in front of Finish Line since they are one of the major footwear sales stores in the country. This will show me exactly what people choose to wear, but won’t tell me why. Since I wouldn’t know why they wear them I plan to interview a couple of volunteers to get their opinion. This plus the rest of my research will give me a good idea of what people choose to wear, and why. I’m going to pick a few individuals from the public that seem to keep “shoes” an important part of their lives. I will ask them the same questions that are on my survey plus a few more that will go int...
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 ...
For the first experiment, two groups of participants were either randomly assigned to a cubicle with a diffused cleaner scent present, or to a control group where no diffused scent was present. Participants were then asked whether a string of letters appearing on a computer screen contained any real words by pressing either a "yes" or "no" button. Words were either cleaning related such as "cleaning" and "hygiene," or were control words such as "table"...
Pepsi Blue was first test-marketed in Bahrain for three reasons: first, the majority of residents drank Pepsi; second, regional marketers and bottlers had already begun re-evaluating the effectiveness of the company's white logo (which didn't work well in their market); and third, the city was a small test market with a tightly controlled sample population. The Pepsi Blue logo, tagline and new marketing materials were rolled out in half the market and its results were highly successful. Purchasers liked the new logo design and the majority believed that the packaging had improved and the taste remained the same. For those who believed that both the taste and packaging were different, the majority enjoyed the "new" taste.
Experimentation with the new market for carbonated beverages on the decline coke has done experiments in new flavors and healthier alternatives to try to stay competitive. As well as investing in “Keurig Green Mountain is a K-Cup maker but has a new Keurig Cold that can deliver Coca-Cola through the new system.” (Cooper, 2014)
There are a variety of beverages available to us today with a wide range of differences, some are flavored, carbonated, low calorie, energy boosters, and just plain water. When it comes down to carbonated drinks there are two major rivalry soda companies dominating the market. Coca Cola and Pepsi are two well know cola distributors with very credible history, but the question still remains one is America’s favorite? With the ongoing competition between Coca-Cola and Pepsi, each company is incorporating new strategies for marketing and advertising there brands. When comparing an advertisement from each of the companies, we will review how they appeal to consumers.
...in size as a replacement for straw bits. As the data shows, some the proportion of marked straw bits in the first capture to the total population (n1/N) is not equal to the proportion of marked straw bits in the second capture to the total straw bits in the second capture (m2/n2). For example, 20(n1)/100(N)≠3 (m2 in the 4th trial)/10(n2). Since this is a random sampling, it is impossible to control the results especially the number of marked straw bits in the second capture. The container for straw bits is shaken for the mixing between marked straw bits and unmarked straw bits. However, it is not sure that whether the population is mixed thoroughly or not. Some marked straw bits may stuck in some corners with other straw bits even after the mix. Again this is a process of random sampling and it is unpreventable for the marked straw bits’ inability to mix thoroughly.