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.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Who is better at multi-tasking? In business, employees are often asked to perform a complex task when their attention is divided (i.e., multi-tasking). Human Factors (May 2014) published a study designed to determine whether video game players are better than non–video game players at multi-tasking. Each in a sample of 60 college students was classified as a video game player or a nonplayer. Participants entered a street crossing simulator and were asked to cross a busy street at an unsigned intersection. The simulator was designed to have cars traveling at various high rates of speed in both directions. During the crossing, the students also performed a memory task as a distraction. Two variables were measured for each student: (1) a street crossing performance score (measured out of 100 points) and (2) a memory task score (measured out of 20 points). The researchers found no differences in either the street crossing performance or memory task score of video game players and non-gamers. “These results,” say the researchers, “suggest that action video game players [and non-gamers] are equally susceptible to the costs of dividing attention in a complex task”.

a. Identify the experimental unit for this study.

b. Identify the variables measured as quantitative or qualitative.

c. Is this an application of descriptive statistics or inferential statistics? Explain.

Explain how population and variables differ?

Customer orders at a department store. A department store receives customer orders through its call center and website. These orders, as well as any special orders received in the stores are forwarded to a distribution center where workers pull the items on the orders from inventory, pack them, and prepare the necessary paperwork for the shipping company that will pick up the packages and deliver them to the customers. In order to monitor the subprocess of pulling the items from inventory, one order is checked every 15 minutes to determine whether the worker has pulled the correct item.

a. Identify the process of interest.

b. Identify the variable of interest. Is it quantitative or qualitative?

c. Describe the sample.

d. Describe the inference of interest.

e. How likely is the sample to be representative?

Explain how populations and samples differ?

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

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free