Claims and Hypotheses Claim 1 The number of battery electric cars in the city is 10%. In this case, the population comprises battery electric cars in the city. These cars have an electric motor that runs on electricity stored in batteries (CEPA, n.d.). Null Hypothesis Based on the claim, the null hypothesis is H0: The number of battery electric cars in the city is 10%. Notably, the claim forms H0 because it contains the equality sign (Triola, 2012). In symbolic form, we express the null hypothesis as H0: p = 10%. Alternative Hypothesis The alternative hypothesis for the claim is H1: The number of battery electric cars in the city is not 10%. In symbolic form, we express the alternative hypothesis as H1: p ≠ 10%. Initial Conclusion Assuming that the test statistic does not exceed the critical …show more content…
Final Conclusion There is sufficient evidence to warrant rejection of the claim that the proportion of female adults attending the various movie theatres in the city is 50%. (Triola, 2012). Claim 3 The number of homes that use solar energy in the state is less than 25%. Null Hypothesis In this case, the claim does not have an equality condition. We express the null hypothesis as H0: The number of homes that use solar energy in the state is 25%. In symbolic form, we express the null hypothesis as H0: p = 25%. Alternative Hypothesis The claim forms the alternative hypothesis, which is H1: The number of homes that use solar energy in the state is less than 25%. In symbolic form, we express the alternative hypothesis as H1: p < 25%. Initial Conclusion While assuming that the test statistic is less than the critical value, the initial conclusion is to reject H0. Final Conclusion The sample data supports the claim that the number of homes that use solar energy in the state is less than 25% (Triola, 2012). Claim
Within the target site of the experiment, researchers wanted to answer their hypothesis; hypothesis was that increased police
The reach question “do baseball teams with higher payroll win more?” will for testing purposes be turned into the verbal Hypothesis statement, baseball teams with larger payrolls don’t win anymore than teams with smaller payrolls. This leads to the numerical hypothesis statements regarding the null and alternative hypotheses.
Kansas is not the hottest or the sunniest state in the United States. So how would we here in Kansas really benefit from solar energy? “Because the sun doesn’t deliver that much energy to any one place at any one time, a large surface area is required to collect the energy at a useful rate” (Energy Sources). According to American Wind Energy Association, nine of the eleven American solar power plants are in California. So the leading places in the U.S. are on the western end of America. Also, solar power isn’t a reliable source for Kansans because the sun doesn’t shine every day.
Joel Best’s Damned Lies and Statistics is a book all about recognizing statistics that are legitimate and others that are really quite horrible. The goal of this book is not that the average every day person be able to read a statistical table from a scholarly journal, but rather that anyone could personally value a statistic he or she may come across in a newspaper article or on a news program. Best was essentially effective in achieving his goal; however, he was effective to the point of overdoing his job of showing that there are bad statistics which give readers cause to evaluate them outside of hearing them on the news.
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
Nissan was the first company to introduce a 100 percent electric car that produces zero emission and they had great hopes for this vehicle (“Nissan Product Information”). According to Michael Strong, the company believed that this car would be the future of transportation and that it would soon be responsible for 10 percent of all new vehicle sales. However, after 3 years on the market, Nissan’s CEO Ghosn admitted that the Nissan Leaf is only accountable for 4...
An investigation of 150 randomly selected local restaurants concluded that 42% of local restaurants have serious health code violations. Is this a population or a sample; explain your answer.
The future American commuter will undoubtedly have to transition from the use of fossil fuels to new alternatives due to the diminishing availability of the nation’s oil resources. How will America respond to this upcoming issue? It is difficult to predict which alternative fuel source America will ultimately choose, but with the premier of Nissan’s electric powered Leaf and other companies; such as Tesla Motors and Chevy, with their electric cars ready for market, the electric car may be winning the race to become the new standard for the gasoline alternative. Electric cars resolve long standing environmental issues, but it will need to maneuver around many roadblocks to become a marketable consideration for the general public. The cost of electric cars, currently on the market, makes them an impractical purchase for the average consumer. If cost is not the growing concern in today’s economy which prevents the consumer from considering this option; they may deny the technological advance due to battery storage capabilities and the inadequate infrastructure in place to refuel and provide for them.
As humans delve into the twenty-first century, scientific research continues at an exponentially increasing rate. While the work of researchers seems to affect people in positive ways, the common debate among the general population is whether or not there is a limit to how far scientists can take their research and impact the future of society. The changes that scientists induce upon society often escape foresight, such as diseases, dangerous paints, and other products that do not pass the test of time. One big issue that is fiercely debated is how to go about switching to alternative-fuel-source automobiles, given that the world’s supply of oil will run dry relatively soon. The electric car seems to be the best candidate as a replacement for the moment, but many people are still weary about completely discarding the trusty internal combustion engine for an invention barely as old as the people who will buy them. The electric fuel is promising, but it has not been around long enough to undergo the test of time needed for mass acceptance. Here the more direct question arises: is the electric car the solution to a more economically responsible car?
Dietz, Diane. The Register Guard "Manufacturers Test the Market with Electric Cars" Eugene Oregon :1999.
Solar and wind energy are not consistent with producing energy if there is no sun or wind just like finding fuel is not consistent with electric vehicles because so little places have electric pumps.
An example of a null hypothesis for the variables used in this data collection would be, “Does GPA predicts final exam scores? An alternative hypothesis would be that GPA scores do determine the exam scores.
Preview: Today I will discuss the potential that solar power has to become this country’s main supply of energy and the latest research that can make solar power more efficient and cost effective. I will also present the environmental benefits that come with using solar power over other and more harmful forms of energy.
Testing a hypothesis is a vital part of research this will enable the parties involved to identify if the thought or prediction is actually a valuable theory. In nature a hypothesis is a theory or prediction to some individuals involving the connection between a number of different variables. Studies are necessary to proof the validity of the theory or prediction made.
Whether or not people notice the importance of statistics, people is using them in their everyday life. Statistics have been more and more important for different cohorts of people from a farmer to an academician and a politician. For example, Cambodian famers produce an average of three tons or rice per hectare, about eighty per cent of Cambodian population is a farmer, at least two million people support party A, and so on. According to the University of Melbourne, statistics are about to make conclusive estimates about the present or to predict the future (The University of Melbourne, 2009). Because of their significance, statistics are used for different purposes. Statistics are not always trustable, yet they depend on their reliable factors such as sample, data collection methods and sources of data. This essay will discuss how people can use statistics to present facts or to delude others. Then, it will discuss some of the criteria for a reliable statistic interpretation.