Quantitative Data Problem Solving

Quantitative research is done to find the accurate facts by evaluating the problems like opinion, behaviour by using numerical data. This research is based on theories, hypothesis, collecting, analysing the data to make the research accurate.

A way that company like John Lewis would use this kind of data is in stock reports for example if there are thirty-two watches in stock and the price is twenty-five pound for one then that would be seen as numbers. Some businesses like John Lewis use an automated system to calculate certain information because of this, they can gain useful and accurate information which produces advantage over other business. It is usually harder to argue against quantitative

Quantitative data is facts that are written in numerical form and then proven. The way Quantitative data is recorded is in numbers. An example of Quantitative data is 55%take bus, 25% take train, 10% walk and 10% car.

Qualitative research data is useful to explain to others the outcome of the information whereas quantitative research is difficult to understand at an initial glance. An advantage to quantitative data is that it is easy for you to turn in to quantitative data, which is more aesthetically pleasing for the audience.

A knowledge of bias will help you to understand which results are worth using for your business (Ayres, 2009).

3. Quantitative data is easily compiled into something meaningful because it is based on concrete data. On the other hand, qualitative data is presented in a raw form and needs

According to Crabb (1977), there are several factors that motivate human behavior. Although there several motivators, Crabb (1977) insists that the need to feel secure and the need to feel significant are the two primary provokers. Often, a human’s primary motivator to meet these needs becomes the driving force behind any action. When a situation or event is encountered, often, the individual will analyze whether or not one of these two needs is threatened, if it is, a person will most often behave in a way that protects (Crabb, 1977). I have seen this to be true in my life and in the lives of many of my friends. For example, someone will make hurtful or unloving comment, and the receiver will retaliate with a defensive or hurtful remark to protect their security or significance from the offense. Unfortunately, this type of unhealthy behavior can set a person on a downhill spiral that may result in a ripple effect of negative impacts. Frequently, friends, business partners, spouses, children, and even other opportunities are disengaged because

Quantitative research methods are objective as it uses measurements and analysis of statistical data to answer the study question. The researchers’ opinions do not affect the outcome of the study, ensuring that the study is unbiased. Another advantage is quantitative research uses numbers and statistics which is understood universally (Houser,2008).

They point out that assumptions are based on our own feelings. For example, if we feel hurt, then the other person must have meant to hurt us. Furthermore, we should acknowledge the hurt feelings of the other, even if this was not our intent. The final component of the “what happened” conversation is the problem with the assignment of blame, which inhibits the ability to learn about the cause of the problem or to collaborate to fix it. The authors remind us that “…blame is about judging and contribution is about understanding (p. 59).” Attention should be focused on examining each person’s contribution to the problem with a goal of understanding cause and avoiding future problems. An effective “what happened” conversation illuminates the fact that the situation is more complex than either party’s original perception. Next, the authors discuss the importance of having a “feelings” conversation. Although emotions frequently drive difficult conversations, people often ignore them. However, unaddressed feelings generally re-emerge to impair understanding, hinder listening, and damage relationships. Although feelings do not always make sense, they still exist and require acceptance, so that both parties can feel understood. The third conversation is one that we have with ourselves about what this situation means about our personal identity. We may question our competence, goodness, or

This is information that is measured using numerical values and is very accurate as it is based on facts and is statistics. The information is presented as statistics and can be obtained from methods like questionnaires and surveys. Quantitative questions don’t allows the individual to give a subjective answer. NatWest this data to analyse for patterns and trends of their customers banking habits. This then allows them to make projects for the banks which would be influenced by the quantitative data they would have collected through a survey in there branches nationwide.

During quantitative methods the main objectives of the course were to obtain databases, manipulate data, and then analyze data to make informed decisions. To manipulate and analyze the data the best methods for doing so included charts, filters, excel functions and pivot tables.

Alternatively, Quantitative analysis is a more commonly practised method as it relies on testing, simulations, calculations, formulas and any other appropriate forms of data to produce a representative figure.

Quantitative research involves collecting data, which can be expressed numerically. The design is well structured with pre-determined outcomes. It frequently involves testing a hypothesis, which then can be analysed from the data deductively using statistical methods. Using numerical data is easier to analysis mathematical, so larger sample sizes can be utilised compared to qualitative research, therefore giving a better representative of the population; along with simplifying the process of making a generalisation. Another advantage is that studies can easily compare to similar findings (Kruger, 2003). The disadvantages are the results are limited and might not provide a proper understanding of the topic. Also, statistics and leading questions can be used to give a false representation of the data when summarising.

It is challenging to completely remove bias from one 's analysis. By adjusting one 's stance (conservative, moderate, or aggressive), one can make the values of

The first strategy when solving the statistical problem above is to create a plan to find how many solutions there are for this problem. When starting this plan, the first step is to glean all the relevant clues given in the problem. The important clues described in the statistical problem begin with their only nine people. One person of the nine people has nine pieces of candy. A second person has no candy. Finally, a third person has four pieces of candy because four is the mean and the media of the problem. Gathering information from the data is what Art Costa’s calls his first level of Questioning, which is gathering information (Daws & Schiro, 2008). Students must have a good understanding of mean, median, and mode before solving this type of statistical problem. Median and mode are often easily found Van De Walle, Karp, and Bay-Williams have defined mean in two different conceptual understandings.