Descriptive Statistics : Descriptive Data

2. Based on the scale of measurement for each variable listed below, which measure of central tendency is most appropriate for describing the data?

Each statistic in the descriptive form lowers the quantity of data into a much simpler summary.

·  How were measures of central tendency used in the study? Did the study use the most appropriate measure of central tendency for the given data? Why or why not?

Descriptive statistics are digits that are used to summarize and describe a given range of data (Klenke, 2008). Basic descriptive data includes, mean, median, mode, variance and standard deviation. The data can be rearranged in an ascending order as follows:

2. Based on the scale of measurement for each variable listed below, which measure of central tendency is most appropriate for describing the data?

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

It is one of the most popular and well known measures of central tendency. It can be used with both discrete and continuous data, although its use is most often with continuous data

C. The researchers analyzed the data as though it were at the interval/ratio level since they calculated means (the measure of central tendency that is appropriate only for interval/ratio level data) and standard deviations (the measure of dispersion for interval/ratio data) to describe their study variables.

The example below lists the results for numbers 6-10. The measures of central tendency include mean, median, and mode. In this example the measures of central tendency will be calculated based on row B, which indicates the number of months that a particular employee has been with the company. The data being analyzed is the

The four levels of measurements are nominal, ordinal, interval, and ratio. I work on a pediatric hematology/ oncology floor where we have a bed capacity of 18. At times our pediatric census is low and we will have adults transferred to our unit as overflow. We use the nominal measurement to determine how many adult (A) patients we have and pediatric (P) patients we have. We use this measurement to classify the patients and the letters in this case are used to classify the data. It also helps the nurses know what our patient load is should an emergency arise. Ordinal level of measurement is used to determine the charge nurse on our floor. The most senior nurse on the floor working that day is in charge because she/ he have been there the longest. It is a ranking system that is not evenly spaced out but there is clear reasoning behind it. An interval measurement is the difference between two values and we use this measurement at work while taking temperatures on our patients. For example, if the temperature is 39.5 Celsius and 36.5 Celsius they have the same difference as between 39.0 Celsius and 36 Celsius. This measurement shows a scale from a low interval to a high interval. Ratios are also done when we weigh our patients. There is always an absolute zero when working with ratios, meaning that the can be no number that falls below zero. If we have a patient who weighs 15kg and weigh them again and they weigh

Included in this report is an excel file with all the scores used to calculate the following data, it will help understand the following central tendency better, as far as where these numbers were taken. Central tendency includes the commonly used mean, mode and median. This helps analyze data more effectively and for through understanding of research. I will highlight the most significant ones here.

I will be applying descriptive statistics to visually display data and calculate measures of central tendency and dispersion to effectively pin point patterns of injury, what medications we give, and what topics to educate our Soldiers to prevent illness and injury. As this course comes to an end I have reflected on the course outcomes and determined that I have successfully achieved the intended learning objectives in the five Modules. I have demonstrated the ability to describe statistics, determine sources and users of Health Statistics. I have been able to identify and demonstrate the importance of the Central Limit Theorem to the study of Health Statistics. As mentioned in my reflective discussion posting I took special interest in the ability to demonstrate the ability to compute descriptive statistics in order to describe the characteristics of a data set as well as applying elementary probability theory to health sciences data. I also mentioned earlier that the ability to conduct parametric and nonparametric inferential statistical tests: t-tests, chi-square analyses proved to be the most difficult for me to learn. Overall this course was very useful for me and will improve the way I run my medical company here in Kuwait. I believe our work here will improve the quality of care through statistical review of our standard operating procedures and protocols in the aid station. I appreciate the learning opportunity this course offered and the feedback

Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data. It is applicable to a wide variety of academic disciplines, from the physical and social sciences to the humanities. Statistics are also used for making informed decisions – and misused for other reasons – in all areas of business and government. Statistical methods can be used to summarize or describe a collection of data; this is called descriptive statistics. In addition, patterns in the data may be modeled in a way that accounts for randomness and uncertainty in the observations, and then used to draw inferences about the process or population being studied; this is called inferential statistics. Both

number 23 out of 30 top salaries in the league, they also had 96 wins

Major League Baseball is known as America’s favorite pastime, and MLB teams spend an extensive amount of money in the excess of a billion dollars with the ultimate goal to win the World Series. This learning team’s focus throughout this descriptive statistics paper is the MLB players’ performances, salaries, salary caps, and winning percentages. Though salaries will by no means be a trade for wins, the goal is to use the less experienced players and pay them a lower salary. Research has been done on whether or not player’s salaries and wins are connected.