Statistics and management

**Order Instructions:**

The writer will have to read each of this post and react to them by commenting, analyzing and supporting with relevant articles. The writer will have to read carefully before giving constructive comments on the post. The writer should write a one paragraph of at least 150 words. APA and in text citation must be use as each respond to the two post must have in text citations. The writer will have to use an article to supports his comments in each of the article. Address the content of each post below in a one paragraph each, analysis and evaluation of the topic, as well as the integration of relevant resources.

It is important that the writer avoid grammatical errors and use constructive feedback in the two articles.

I will send the articles via email

**SAMPLE ANSWER**

In dataset 1. Most of the analysis performed were sufficient for the purpose of the inferential statistics. This is because the p-value was used in making inference about the sample data (Ireland, 2010). Nevertheless, the tables were not formatted by APA 6^{th} edition guideline (Szuchman, 2013). The writer opts to modify the table looks such that their appearance resembles that of an APA table format. Furthermore, some of the in-text citation did not follow the APA guideline. Furthermore, the inference made was incorrect; the hypothesis is never accepted, it is just lack of adequate evidence that leads to failing to reject. Thus, the inference was supposed to state: we fail to reject the null hypothesis due to lack of enough evidence (Ireland, 2010). Furthermore, the hypothesis should be restructured to look more professional, and on the same note the null hypothesis are denoted by (H_{0} or H_{a}), and the alternative hypothesis with (H_{1 }or H_{b}) (Masson, 2011).

In data set 2: the APA file formatting is well observed in the table formatting (Szuchman, 2013). Furthermore, the research paper is well written, since the writer wrote the research question that will act as a blueprint for his/her analysis. Nevertheless, the descriptive statistics were supposed to give the distribution of data, which is the spread of data (Ireland, 2010). On the same note, the writer cannot make an inference based on the descriptive statistics, which are used to construct the confidence interval. Thus, logical analysis like ANOVA analysis ought to have been carried out to measure the variability of the variables (Hecke, 2012). These tests are powerful, and they are used in the inferential statistics. In particular, to test whether there exists statistical difference between variables. Similarly, the writer should not say that the null hypothesis is accepted (fail to reject) (Masson, 2011).

**References**

Hecke, T. V. (2012). Power study of ANOVA versus Kruskal-Wallis test. *Journal of Statistics and Management Systems*, *15*(2-3), 241-247. https://doi.org/10.1080/09720510.2012.10701623

Ireland, C. (2010). Inferential statistics and hypothesis testing. *Experimental statistics for agriculture and horticulture*, 62-70.

Masson, M. E. (2011). A tutorial on a practical Bayesian alternative to null-hypothesis significance testing. *Behavior research methods*, *43*(3), 679-690.

Szuchman, L. (2013). *Writing with style: APA style made easy*. Cengage Learning.

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