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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

Monitoring product quality. The Wallace Company of Houston is a distributor of pipes, valves, and fittings to the refining, chemical, and petrochemical industries. The company was a recent winner of the Malcolm Baldrige National Quality Award. One of the steps the company takes to monitor the quality of its distribution process is to send out a survey twice a year to a subset of its current customers, asking the customers to rate the speed of deliveries, the accuracy of invoices, and the quality of the packaging of the products they have received from Wallace.

a. Describe the process studied.

b. Describe the variables of interest.

c. Describe the sample.

d. Describe the inferences of interest.

e. What are some of the factors that are likely to affect the reliability of the inferences?

Monitoring the production of soft-drink cans. The Wakefield plant of Coca-Cola and Schweppes Beverages Limited (CCSB) can produce 4,000 cans of soft drink per minute. The automated process consists of measuring and dispensing the raw ingredients into storage vessels to create the syrup and then injecting the syrup, along with carbon dioxide, into the beverage cans. In order to monitor the sub process that adds carbon dioxide to the cans, five filled cans are pulled off the line every 15 minutes, and the amount of carbon dioxide in each of these five cans is measured to determine whether the amounts are within prescribed limits.

a. Describe the process studied.

b. Describe the variable of interest.

c. Describe the sample.

d. Describe the inference of interest.

e. Brix is a unit for measuring sugar concentration. If a technician is assigned the task of estimating the average brix level of all 240,000 cans of beverage stored in a warehouse near Wakefield, will the technician be examining a process or a population? Explain.

Explain the difference between quantitative and qualitative data?

Suppose that a production batch contains 1,000 units and you have to select 10 units for quality assurance. Use a random number generator to select a simple random sample of n = 10 from the production batch.

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

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