Statistic: Data Collection and Sampling Essay

We conduct an independent sample t-test using Excel, and obtain the following output (see t-test-height)

The researchers used purposive sample but did not give any explanation as to why this choice sampling was made. It is essential to describe the sampling process in a research where this facilitates the reader to distinguish any bias in the whole sampling process. In studies using participants, the process of how to select, access, inform and retain research participants requires considerable thought. Sampling is a key issue, because it is

(1) A study of the number of cars sold looked at the number of cars sold at 500

Statistics, facts, data, and comparisons are absorbing and challenging to present in a way that is anything other than, well, boring. For purposes of an informational presentation, the statistics are unavoidable. However, in this

To view the research on a nominal scale, the research data can be drawn from the type of class. The word nominal is derived from the root word in Latin for name (Usable Stats, 2013). The name of the class, Psychological Statistics, is the nominal measurement for this research. When conducting this study, the study will only be measured during the course of this specific class. The results could drastically change when considering another type of class such as Quantitative Literacy as the cognitive understanding of such a collegic math class may be more optimal through a different course-delivery format.

The information in the table below refers to the 2008 model year product line of BMW automobiles. Identify the Individuals, variables, and data corresponding to the variables in the table below. Determine whether each variable is qualitative, continuous, or, discrete. Please refer to problems #51 and #53 on page 13 for examples.

Assuming unequal variances, the two sampled t-Test was applied on the data sets of female and male shoe sizes with the alpha value of 0.05. The null hypothesis was that the female and male shoe sizes have an equal mean while the alternative hypothesis was that female and male shoe sizes do not have an equal mean. With the degrees of freedom being 27, the t-statistic is -8.16. The probability that -8.16 is ≤ -1.70 is 4.5×10-9 for the one-tailed test. Also, the probability that -8.16 is ≤ ±2.05. is 9.1×10-9 for the two-tailed test. Given that both probabilities are under the alpha value of 0.05, the null hypothesis is therefore rejected, and the alternative hypothesis is accepted at the 95% confidence level.

I believe that in the verge of realization, in everyday life’s undertaking we are facing and practicing statistics. I was being into a serious dedication of understanding the underlined concepts of statistics and the necessary usefulness in conducting a survey. In fact, throughout the course, I did learn many factors that became useful in contacting a survey research. according to Walker et al. (2011). However, my success could not be possible without the appreciation and support of my teachers, discussion groups, and class presentations.in addition, the misguided notion of statistics being a tough course was proven otherwise since I realized that statistics make a lot of sense not only in survey research in personal life, especially in budgeting and planning for individual routines. Furthermore, the following paper provides a vivid explanation of my reflection of the survey class, with more attention paid to the concepts of statistics.

As I develop in mind, body, and spirit, I pledge on my honor that I have not given, received, witnessed, nor have knowledge of unauthorized aid on this or [assignment, quiz, paper, test].

A theory often used in the research of individual health behavior and behavioral intentions is the theory of planned behavior (Ajzen, 1991). According to this theory, the performance of any behavior depends on behavioral intention. Behavioral intention is viewed as being dependent on behavioral beliefs (e.g., attitude towards the behavior), normative beliefs, and control beliefs. Normative beliefs are beliefs about the expectations of others, and control beliefs are beliefs about the factors that may help or hinder the performance of the behavior. The framework for the study of physical activity discussed earlier by Armitage (2005) is based on this theory. That study found that behavioral beliefs, normative beliefs, and control beliefs all contribute to physical activity behavior.

1. The researchers analyzed the data they collected as though it were at what level of measurement?

A pharmaceutical company is testing the effectiveness of a new drug for lowering cholesterol. As part of this trial, they wish to determine whether there is a difference between the effectiveness for women and for men. Using   = .05, what is the value the test statistic?

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Use the given degree of confidence and sample data to construct a confidence interval for the population proportion. 1) Of 346 items tested, 12 are found to be defective. Construct a 98% confidence interval for the percentage of all such items that are defective. A) (3.34%, 3.59%) B) (1.18%, 5.76%) C) (1.85%, 5.09%) D) (0.93%, 6.00%) E) (0.13%, 6.80%) 2) Of 81 adults selected randomly from one town, 64 have health insurance. Construct a 90% confidence interval for the percentage of all adults in the town who have health insurance. A) (71.6%, 86.5%) B) (67.4%, 90.7%) C) (70.1%, 87.9%) D)

Why does the sampling distribution of the mean follow a normal distribution for a large enough sample size, even though the population may not be normally distributed?

Quantitative data collection involves the use of numbers to assess information. This information can then be evaluated using statistical analysis which offers researchers the opportunity to dig deeper into the data and look for greater meaning. The Quantitative data collection methods rely on random sampling and structured data collection instruments that fit varied experiences