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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…
preferred. The results proved the hypothesis wrong: Diet Coke and Bargain brand coke are not equally preferred by college students. A 95% confidence interval was also calculated. This showed that the percentage of college students who preferred the Bargain brand coke is approximately between -0.9.9% and 50.9%. The collection of this data proved that the Bargain brand coke and Diet Coke are not equally preferred by college students. Materials and Methods: The purpose of this experiment was to see if more college student prefer store brand diet coke over brand name, Diet Coke.
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
drinking.
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
But this “thin slicing” is in the form of a “sip test”. The Pepsi Challenge was a series of soft drink taste-tests that seemed to conclusively prove that Americans liked Pepsi more than Coke. These soda contests made Pepsi a serious contender for the first time, and left Coca-Cola scratching its head. Gladwell however, presents evidence that Pepsi’s overwhelming success over Coca-Cola in these tests was not evidence of a real preference, but rather a result of the flawed nature of the “sip test” method itself. “His research shows that when offered a quick sip, tasters generally prefer the sweeter of two beverages – even if they prefer a less sweet beverage over the course of an entire can” (Choosing Speakers). Just because a taster prefers a single sip of the sweeter beverage, Gladwell argues, doesn’t mean he’d prefer to have an entire case of it at
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.
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.
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.
A sample of children ranging from 4 to 13 years old are going to be asked to watch a Rainbow Brite video. The children will be randomly picked from a childcare center. To ensure that the children are going to be randomly assigned, the children will range in different age groups. The first group will consist of 4, 6, and 8 year olds. The second group will consist of 10,12, and 14 year olds. It would have to be a field experiment because you have to go out and collect the data.
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 ...
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
The research our experiment was founded on was that carried out by Taylor and Faust (1952). They carried out an experiment on 105 student’s, which was designed in the method of the game ‘twenty questions’. The students were split into teams of one member, two members and four members. They were then told that the experimenter would keep an object in mind whether it is animal vegetable or mineral was also stated, and they were then allowed 20 questions and guesses to reveal the identity of the object. In there experiment they found that the group of two members performed better than the group of four members in terms of how many guesses and questions it took them and how long it took them to deduce the identity of the object. However Taylor and Faust found that the efficiency did not differ in any significant way.
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.
...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.
In this experiment only one factor is to be changed to make it a fair
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...
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"...
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.