Statistics 101

According to Schutt (2008), sampling is defined as a subset of population used in a study to be a representation of the population as a whole. My final project is a pre-hire assessment which analyzes potential risky pattern behaviors and emotions in the work place. One of the most important considerations related to sampling that will need to be addressed in my final project is defining the population that will be taking the assessment.

There were various populations and samples in this sample since this studied had various groups depending on sport and gender. The population within this article is the entire sum of athletes that play that specific sport. The sample is the group of athletes that participated in the study for each sport. The unit is each athlete.

4. a) An example of statistics is the statement “Between the ages of 15 and 24, they take their lives five times as often.”

10) Was the sample for this study adequately described? Provide a rationale for your answer

Results from previous studies showed 79% of all high school seniors from a certain city plan to attend college after graduation. A random sample of 200 high school seniors from this city reveals that 162 plan to attend college. Does this indicate that the percentage has increased from that of previous studies? Test at the 5% level of significance.

The population sampled due to its specific nature i.e., college students, and college graduates would need to be contemplated in regards to the testing results as it is offered as a depiction of the general population.

1294 adults aged 18-49 who had purchased food from fast food restaurant in Victoria, Australia

The sample is not a representative of the population. The number of different groups of nurses was not equal. Registered nurses had the biggest number and this made the research biased towards them (Kalisch & Lee, 2011, p. 86). To represent the entire population, the different

A population is the entire group to be studied and a sample is a portion of the population.

1. The researchers analyzed the data they collected as though it were at what level of measurement?

Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data. It is applicable to a wide variety of academic disciplines, from the physical and social sciences to the humanities. Statistics are also used for making informed decisions – and misused for other reasons – in all areas of business and government. Statistical methods can be used to summarize or describe a collection of data; this is called descriptive statistics. In addition, patterns in the data may be modeled in a way that accounts for randomness and uncertainty in the observations, and then used to draw inferences about the process or population being studied; this is called inferential statistics. Both

-The sampling distribution is a distribution of the results if all possible samples are selected, where as a population distribution is the distribution of a particular variable of interest.

3. Sample Population: Who exactly was used in the study? How many? (Be as specific as possible.)

The participants of clearly the individuals from three separate cohorts, however the researchers do no specify if all individuals in each of the three cohorts are sampled or if only a portion of them participated in the research. This is an important issue that needs to be addressed by the researchers, although the number and sex of participants from each cohort is reported, the differences in sampling selections could present a significant difference in the conclusions obtained from the research data.

This discrepancy also meant that the sample was unrepresentative of the population. Convenience sampling also allows the opportunity for bias to affect the results. Future research could look at a larger more representative sample to overcome this.