Rounds, Katina Lorette: Unit Three Discussion - One Sample Hypothesis Tests........(Dec 2 2013 8:42AM)
A. Variable – The variable from my organization is the time frame it takes to process test results. The process time for receiving test results solely depends on the complexity of the test being performed. However, some tests might take a few hours to as much as several days before results are ready.
B. One Sample Hypothesis – The hypothesis is the more lab tests that are perform on specific patients than the more time it will take for the test results to come back. Example- The lab took a random sample from the lab data population and compares it to the sample proportion to the population proportion. The sample size included 250 patient test results with 150 number of success of patients.
C. Description of the test you are using (either mean or a proportion) – I would perform the proportion test.
D. Description of why are you using this particular test - I would use proportion because its shows the difference between the population proportion of the patient’s and the current pr...
Within the target site of the experiment, researchers wanted to answer their hypothesis; hypothesis was that increased police
For this experiment the null hypothesis is that the intensity of the step rate test (High and Low) has no effect on the persons’ heart rate and recovery time. While the alternate hypothesis is that the intensity of the step rate test (High and Low) has an effect on the persons’ heart rate and recovery time.
C. When the individual tests of these attributes are put together, the result is one overall test- the test of chivalry.
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.
4) Repeat this same test three time in order to gather and average later on.
Making a good and persuasive argument is very much an acquired skill. It requires much practice and perfecting. It takes more than just having passion and making good points. Just because a person is passionate about the topic or has supporting details does not mean they can make a successful argument. Much more thought and skill is required. Gordon Adams, in his letter to the Arizona State University standards committee, demonstrates this quite well. Gordon Adams writes a passionate argument, yet his argument lacks several critical aspects.
Inferential statistics establish the methods for the analyses used for conclusions drawing conclusions beyond the immediate data alone concerning an experiment or study for a population built on general conditions or data collected from a sample (Jackson, 2012; Trochim & Donnelly, 2008). With inferential statistics, you are trying to reach conclusions that extend beyond the immediate data alone. For instance, we use inferential statistics to try to infer from the sample data what the population might think. A requisite for developing inferential statistics supports general linear models for sampling distribution of the outcome statistic; researchers use the related inferential statistics to determine confidence (Hopkins, Marshall, Batterham, & Hanin, 2009).
Within this set, the investigators randomized how many trials the participants would complete: 7, 10, or 13. Then, they were giving the chance to do 3 or 6 more trials and were ask to record their results.
Next, compute a score for each participant in the following way: For each question, score a +1 if the participant's personal answer and predicted UB mean are either both below or both above the actual UB mean; score a -1 if the participant's personal score and predicted class mean are on opposite sides of the actual UB mean. Sum all six questions so that each participant now has a single score that ranges between -6 and +6. If people are randomly selected, the average score for all students should be zero. In contrast, if people are in the direction of their own beliefs, the average should be greater than zero. A simple, one-group t-test can be calculated using a predicted difference of zero for the null hypothesis.
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.
d. The hypothesis being addressed in the study is that high-achieving, low income students might make it into college, but they aren’t graduating at the rate that wealthy students are.
The population is the patient amount. The direct outcome is a decreased mortality rate. A higher nurse to patient ratio would be the dependent variable. The specific question regarding a qualitative res...
Second I will describe what these tests are used to figure out and how they are carried out.
d. high scores on the x variable are associated with low scores on the y variable.
In the health care industry, gathering information in order to find the best diagnosis route or even determine patient satisfaction is necessary. This is complete by conducting a survey and collecting data. When the information is complete, we then have statistical information used to make administrative decision within the healthcare field. The collection of meaningful statistics is an important function of any hospital or clinic.