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List and define the five elements of an inferential statistical analysis.

Short Answer

Expert verified

The five elements of an inferential statistical analysis are the population size, number of variables, sample set, satistical inference about the population, and the measure of reliability.

Step by step solution

01

 Defining inferential statistical analysis

To do inferential statistical analysis, a researcher forms data using the sample sets and generalizes that data accordingly. After generalizing the data set, the researcher draws conclusions about the data set.

02

Describing the elements

Firstly, thepopulation and its size must be identifiedby the researcher on which the research study has to be doneSecondly, thenumber of variableshas to be noted down by the researcher based on the objectives of the research. Thirdly, the sample set has to be formed by choosing the correct sampling method. Fourthly, after conducting the statistical tests, thestatistical inference has to be drawn about the population taken into consideration. Lastly, thereliability is measured by the researcher to check the consistency, and for that correlation is used.

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Most popular questions from this chapter

Drafting NFL quarterbacks. The National Football League (NFL) is a lucrative business, generating an annual revenue of about $8 million. One key to becoming a financially successful NFL team is drafting a good quarterback (QB) out of college. The NFL draft allows the worst-performing teams in the previous year the opportunity of selecting the best quarterbacks coming out of college. The Journal of Productivity Analysis (Vol. 35, 2011) published a study of how successful NFL teams are in drafting productive quarterbacks. Data were collected for all 331 quarterbacks drafted between 1970 and 2007. Several variables were measured for each QB, including draft position (one of the top 10 players picked, selection between picks 11 and 50, or selected after pick 50), NFL winning ratio (percentage of games won), and QB production score (higher scores indicate more productive QBs). The researchers discovered that draft position is only weakly related to a quarterback鈥檚 performance in the NFL. They concluded that 鈥渜uarterbacks taken higher [in the draft] do not appear to perform any better.鈥

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List the three major methods of collecting data and explain their differences.

Suppose you have to sort sample units into categories according to their region of origin. The regions are 鈥淎frica,鈥 鈥淎mericas,鈥 鈥淎sia,鈥 鈥淓urope,鈥 and 鈥淥ceania.鈥 For further analysis with a statistical software, you replace each region name with a numerical code: 1 for Africa, 2 for Americas, and so on. Are the data consisting of the region names qualitative or quantitative? Are the numerical codes qualitative or quantitative? Explain your answer.

Explain how population and variables differ?

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