please summarize the below post to make it look original coming from a different perspective. 200 to 250 words please
According to this week’s reading material, Chapter Nine is about the statistical inference involving the hypothesis testing for single populations. This main objective has a plethora of enabling concepts/factors that apply. The following bullets are these enabled concepts that results from testing the hypothesis on single populations:
- Being able to participate and perform in the development both one- and two-tailed statistical hypotheses that can be tested in a business setting by examining the rejection and nonrejection regions in light of Type I and Type II errors.
- Receive a statistical outcomes in hypothesis testing problems about a population mean with a known population standard deviation using the z statistic.
- Get to a statistical results in hypothesis testing problems about a population mean with an unknown population standard deviation using the t statistic.
- Resolution of a statistical conclusion in hypothesis testing problems about a population proportion using the z statistic.
- Get to a statistical outcomes in hypothesis testing problems about a population variance using the chi-square statistic
- Ability to apply the resolution for possible Type II errors when failing to reject the null hypothesis.
Personally, I do not have the experience that involves the subject matter and the information is extensive and detailed with the critical need to have a full clear understanding of all of the main objective and the subtopics that are enabled by the main topic. Starting with this participation and moving forward, I plan to begin with the basics and build upon that as I learn and share all of what Chapter Nine has to offer. The beginning/first concept that is necessary to start this main objective is Hypothesis and Hypothesis Testing. The hypothesis test is the foremost statistical mechanism for decision making. Inferential statistics has the concept of the hypothesis testing being the highlight and the claims that businesses use the statistics to “prove” or “disprove” the outcomes. Business researchers have the ability to structure problems in such ways that they can use statistical evidence to test various theories about business phenomena with the Hypothesis Testing. The reading material states that business applications, “of statistical hypothesis testing run the gamut from determining whether a production line process is out of control to providing conclusive evidence that a new management leadership approach is significantly more effective than an old one.”