Using the SPSS software, open the High School Longitudinal Study dataset found in this week’s Learning Resources and construct a research question that involves a comparison of a means test. Use SPSS to answer the research question you constructed and post your response to the following: What is your research question? My research question is: […]
T-test compares two means across an independent categorical variables. For example, my independent t-test is to test for any possible difference in comparison across student’s sex and their socio-economic status composite.
Sample Problem Statement: A research paper claims a meaningful contribution to the literature based on finding statistically significant relationships between predictor and response variables. In the footnotes, you see the following statement, “given this research was exploratory in nature, traditional levels of significance to reject the null hypotheses were relaxed to the .10 level.” Post […]
A statistical test estimates how consistent an observed statistic is compared to a hypothetical population of similarly obtained statistics – known as the test, or ‘null’ distribution. The further the observed statistic diverges from that test population’s median the less compatible it is with that population, and the less probable it is that such a […]
What makes significance testing a fascinating and important case for investigation is that it appears to have dispersed not because of its appropriateness in various research circumstances, but notwithstanding of it. It may certainly be the case – and I can empirically examine that an increase in the use of probability sampling refreshed the application of […]
The further I get away from 0 for the skewedness the further I deviate from normal distribution. Non Skewedness is close to zero or away from 0. Statistics of zero indicates no skewedness at all.Mean is the most commonly used measure of central tendency and not very often will you use median. This is also because it is […]
A Confidence interval is a range of values that likely would contain an unknown population parameter. Confidence level refers to the percentage of probability, or certainty, that the confidence interval would contain the true population parameter when you draw a random sample many times. Confidence intervals are described broadly as tools for extracting necessary information […]
Describe how you think the research in the article is useful (e.g., what population is it helping? What problem is it solving?). Using Y=f(X) +E notation, identify the independent and dependent variables. How might the research models presented be wrong? What types of error might be present in the reported research? Women undergo […]
Many of our today’s knowledge of facts and findings are being achieved via experimentations and the use of quantitative analysis. Some of the concluded data by other researchers may be called unaccepted value of error. However, some errors occur in different stages of conducting research. For us to understand how errors € can be essential […]
For the Metric Variable of number of adults in household (ADULTCT), the descriptive statistics is below: The metric variable of number of adults in household show N=51451 with missing value of 136. The values for the mean, median and mode for this statistics are 3.64, 3.00, and 2. The std. error of mean is minute […]