We use cookies to create the best experience for you. Keep on browsing if you are OK with that, or find out how to manage cookies.

Samples, Power Analysis, and Design Sensitivity - Statistics Project Example

Comments (0) Cite this document
Summary
Reliability refers to the measure of degree accuracy with which a research process succeeds in describing properties of the research subjects in accordance to aims of a particular research. Such accuracies are significant in both a research’s design and implementation of…
Download full paperFile format: .doc, available for editing
Polish This Essay97.9% of users find it useful
Samples, Power Analysis, and Design Sensitivity
Read TextPreview

Extract of sample
"Samples, Power Analysis, and Design Sensitivity"

Download file to see previous pages A research that lacks either form of validity communicates possible deviations from actual properties of the research subjects and can therefore not be relied upon. Both external and internal validities are also susceptible to threats that must be monitored for a desired level of accuracy. The two forms of validities are therefore important in developing confidence in drawn conclusions and made inferences from a research initiative. They are however different in their specific scopes of applicability, and their threats. Internal validity for instance defines a research process’ independence from confounds that may influence observations contrary to the treatment’s causal effects while external validity defines the degree of confidence in inferring research results to a population. Another difference between internal and external validity is their sets of threats. Threats to internal validity such as “maturation,” “selection,” “instrumentation,” “statistical regression,” and “attrition” induces bias on the causal effect relationship to impair accuracy of observation on treatment effect. Threats to external validity however include “reactive effects of testing,” “interactive effect of selection,” “reactive effect of innovation” and “multiple program interface” and induces barriers between properties of the used sample and other population segments (Fink, 2004, 78, 79).
Research questions to which external validity is of primary concern are those questions that seek to establish relationships that are generally applicable to an entire population. Example is a research question to establish the relationship between gender and students performance in sciences that is psychologically hypothesized to be uniform across populations. Internal validity, however, is primary to research questions that seek to establish existence of a relationship between two ...Download file to see next pagesRead More
Cite this document
  • APA
  • MLA
  • CHICAGO
(“Samples, Power Analysis, and Design Sensitivity Statistics Project”, n.d.)
Samples, Power Analysis, and Design Sensitivity Statistics Project. Retrieved from https://studentshare.org/statistics/1603598-samples-power-analysis-and-design-sensitivity
(Samples, Power Analysis, and Design Sensitivity Statistics Project)
Samples, Power Analysis, and Design Sensitivity Statistics Project. https://studentshare.org/statistics/1603598-samples-power-analysis-and-design-sensitivity.
“Samples, Power Analysis, and Design Sensitivity Statistics Project”, n.d. https://studentshare.org/statistics/1603598-samples-power-analysis-and-design-sensitivity.
  • Cited: 0 times
Comments (0)
Click to create a comment or rate a document
CHECK THESE SAMPLES - THEY ALSO FIT YOUR TOPIC
Airline industrial analysis
This report analyses two recognised companies in the airline industry. Comparing how they operate in this competitive environment, and concludes
4 Pages(1000 words)Statistics Project
Exploring the Logic of Experimental Design
y on the other hand refers to the degree to which results and conclusions of a research can be inferred to other settings and is important in validating inference of a sample’s conclusions to a population (Jackson, 2011). Similarities in within- subjects design and matched-
3 Pages(750 words)Statistics Project
Mouse Factory Design of Experiments
These are: mold temperatures, injection velocity, mold pressure, back pressure and cooling time. The basic output (response) variable is the percentage
3 Pages(750 words)Statistics Project
Wind Moment design analysis

The author states that methodological design is relatively simple of the steelwork in comparison to full rigid construction. It has been determined that the steelwork contractors are always concerned with making steel work connections in the workshops. This increases the cost of construction by 50% of the total cost of the completely erected work.

7 Pages(1750 words)Statistics Project
Sensitivity analysis between three companies
However, it also exploits various types of data input of quantitative assessments and exploration as applied to the companies. Successful analysis and documentation of the key sources of uncertainty and risk will consent
1 Pages(250 words)Term Paper
Multiple Regression Analysis
Using data from the Central Intelligence Agency and Excel for data analysis, the report identifies positive effects of labor force and imports and negative effects of foreign direct investments inflow and export on
3 Pages(750 words)Statistics Project
Statistical analysis of data
This data is a time series data where the emissions of pollutants (in thousands of tonnes) have been recorded from 2000 to 2009 from various constructional activities. Pollutants have been categorized into four categories- Greenhouse gases, Acid rain precursors, heavy
2 Pages(500 words)Statistics Project
Regression analysis project
The necessary transformation in this regression process is the binomial transformation using “mylogit” function. The most important variable in this case is c.vol, because the estimated volume of prostate cancer is the
2 Pages(500 words)Statistics Project
Data Analysis
The author of the text focuses on the data on GDP per capita for European Union countries. Namely, it is stated, it is investigated to establish reliability between the World Bank and the Central Intelligence Agency (US) as information sources. According to the World Bank, the European Union had a GDP of $ 17.96 trillion and a population of 507.0 million in the year 2013.
6 Pages(1500 words)Statistics Project
Regression Analysis
In this work, the focus is to employ various aspects of regression and correlation analysis to be able to explore how imports and export ratios affect the GDP of the UAE.The GDP values will take the Y axis (Independent variable) while the other two variants, X1 and X2 will be used as the dependent variables.
3 Pages(750 words)Statistics Project
Let us find you another Statistics Project on topic Samples, Power Analysis, and Design Sensitivity for FREE!
Contact us:
+16312120006
Contact Us Now
FREE Mobile Apps:
  • About StudentShare
  • Testimonials
  • FAQ
  • Blog
  • Free Essays
  • New Essays
  • Essays
  • The Newest Essay Topics
  • Index samples by all dates
Join us:
Contact Us