Stats1 Essay Example | Topics and Well Written Essays - 1250 words

Stats1 - Essay ExampleFor example, one whitethorn talk about the tribe of entirely individuals in US whose IQ is over 120 or one may talk about the population of all electric light bulbs constantly produced by Phillips. Every population is characterized by measurable quantities called parameters. If parameter of a population is known, the whole population is known completely. Sample is a part of the population. The quantities deliberate from the sample argon known as sample statistics. Sample statistics atomic number 18 used to estimate population parameters. While in a given population the parameter is constant, the value of statistic varies from one sample to the other. The population mean is a population parameter while average computed from a sample of size 20, say, from the alike population, is a sample statistic which may be used to estimate the unknown population parameter. A different sample of size 20 may grant a different value of the sample mean. 3. When a sample is observed instead of the whole population, sampling error is caused. A sample is observed to ascertain the whole population. The population parameter is not known, but is estimated using the corresponding sample statistic. The difference between the parameter and the statistic is a measure of the sampling error. 4. An test is conducted under the control of an experimenter. An experiment is opposite of an observational research, where the researcher observes the study units and records observations. In an experiment, the researcher sets up the experimental conditions and controls them as per his/her research hypotheses. 5. This is an experimental study. correlational study finds correlation among different variables from the same group of observations. Here two equivalent groups are compared in terms of effects of eat on performance. purpose correlation is not the aim of the study. But testing whether on that point exists any difference between the two otherwise equivalent group s when treated with two types of breakfast is the main objective. There is one case and one control group. Hence this is an example of experiment. 6. Nominal plateful is essentially a classification. Even though the classes may have numerical identifications, such as 1, 2 etc, their nomenclature is important but not the values. Suppose in a town there are two groups of hospitals general and mental. If general hospitals are called Group 1 and mental hospitals are called Group 2, this will be an example of nominal variable. If we interchange the order, there will be no effect. For ordinal scale the ordering is important, but by how much one level is more than the other, cannot be measured. Suppose kind pressure is classified as normal, high-normal and high. In this classification there is a hierarchy but the difference between normal and high-normal and high-normal and high cannot be quantified. breakup scale can compare the lengths of intervals. For example, if a flight starts at 600 hrs and reaches its destination at 830 hrs and another flight starts from the same innovation at 630 hrs and reaches the same destination at 1000 hrs, the lengths of the flights are comparable and the difference measurable. For interval scale measurements, the beginning and the end are fixed. In mathematical term, in interval scale there is no concept os an absolute zero. But it contains more information than ordinal scale variables, since its lengths are quantifiable, which is not possible in case of ordinal variable.