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¶ … global warming. One of the arguments in favor of this being an issue is that temperatures have increased over time, since humans began burning fossil fuels. There are a number of ways to look at the issue, but one thing that has not received much consideration is that baseline data, which is taken from urban areas, may be skewed by other factors besides anthropogenic global warming. One factor that has not yet been studied is the effect of cloudy days vs. sunny days on the temperature readings. To investigate whether there is any merit to this idea, we need test two hypotheses. The first is whether or not the weather in the region makes a difference to the mean daily temperatures that are recorded. The second is whether or not there has been a change in weather patterns (for example, if the pollution from our cities has brought about more cloudy days). We have only looked at the first test.
The first test is whether or not cloudiness affects the mean temperature. The null hypothesis for...
This hypothesis will be tested with 20 years' worth of data from LaGuardia Airport in New York City.
The results of these tests support the null hypothesis for the summer, and reject it for the winter. It has been found that the mean daily temperature on sunny days is 0.2 degrees warmer than the mean daily temperature in the summer, but on cloudy days it is 2.4 degrees cooler, with a p-value of 0.043, which indicates that this value is significant. The winter data did not show a high degree of variation in the mean temperature, so cloudy cover is not a good predictor of temperature in the winter.
The key to understanding the statistical test is to recognize that the data set used was sufficiently large. The population was for the history of the city, but the sample was the last 20 years. By running data with such a large set, one can have confidence in the outputs. There are definitely limits to the application of this data, however, to the original problem. It is unlikely that upholding the significance of the summer data is…
References
No author (2014). Introduction to hypothesis testing. San Jose State University. Retrieved March 30, 2014 from http://www.sjsu.edu/faculty/gerstman/StatPrimer/hyp-test.pdf
statistical analysis as well as ensuring the data used is accurate, it is also essential that the appropriate statistical tools are used to undertaken in the analysis. Two similar tests are the t-test and the z-test. In both cases the test is usually applied in a situation where there is a desire to test the means of two samples, or the mean of one sample against a known mean
SE = 2.1820749866 Hypothesis Testing Answer each question completely to recieve full credit There is a new drug that is used to treat leukemia. The following data represents the remission time in weeks for a random sample of 21 patients using the drug. State the Null Hypothesis Let XA represent the mean remission time of the new drug and XB the mean remission time of the previous drug, then the null hypothesis states that
Prison GED Programs Hypothesis testing of the effectiveness of prison GED programs in reducing recidivism The effectiveness of prison GED programs in reducing recidivism Prison GED programs The General Education Development initialized as GED is a service program of the American Council on Education. The tests in the GED are for measuring the proficiency of the persons taking the test in science, mathematics, writing, social studies and reading (Kaprov & Kaprov, 2009). When the
-Provide an example of a hypothesis where a one-tailed hypothesis test would be used. An example of a one-tailed test is testing the claim that the mean score of the gender male is higher than the scores of the gender female in public institutions. -Provide an example of a hypothesis where a two-tailed hypothesis test would be used. An example in this case is testing the claim that the mean scores between the gender male
Apple Hypothesis Testing Review Statistical Testing: Hypothesis Test The statistical analysis for this research focused on using the Z test to compare each more specified region to the national average. Thus, the data was divided into specific region, West, Midwest, Northeast, and South. Each one of these regions was then tested to the total national numbers. This helps illustrate more regional trends and how Apple should focus its marketing of its new
People Hypothesis testing There will never general agreement on the qualities that define and separate good people from bad. However when considering this topic I believed that it would be useful to look at the traits of individuals that allow them to contribute to the development of society and also to form and keep good relationships with others. In fact, it is possible that good relationships actually form the basis or