Lean Six Sigma Yellow Green Test Two

How might a good research design be diagrammed? What kinds of threats to the validity of research designs can you identify? How can such threats be controlled or eliminated?

Mean is the average of a group of scores (Woolfolk, 2014). Mean and average are used interchangeably. To find the mean, a teacher will add all of the scores together and divided by the number of tests. For example, a teacher wants to find the mean of the spelling test, the spelling test scores are as the following, 10, 8, 7, 8, 10, 10, 6, 5, 7, and 5. The first step is to add all of the scores together (76). The second step is to divided by the number of tests (10), the quotient is the mean (7.6). The first math equation is 10+8+7+8+10+10+6+5+7+5=76. The second math equation is 76/10=7.6. The mean of the

One major disadvantage of survey questionnaires is the possibility of low response rates. Low response would most likely be the curse of statistical analysis .I’m sure this can dramatically lower our confidence in the results, however well-designed studies consistently produce high response rates. Another disadvantage of survey methods is the inability to probe responses. Questionnaires are structured instruments. They allow little flexibility to the respondent with respect to response format. In essence, they often lose the "flavor of the response". I think by allowing frequent space for comments, the researcher can partially overcome this disadvantage. Comments

Above is an example or both primary and secondary data which is all quantitative being based on proven facts and subject to continual improvement.

A distribution table can keep all of this information (numbers, row data) handy. A person can look, and say, oh, the participants in this survey were 75% male, or 25 % female. The managers can “see” the information and not just the raw data.

3. What are the objectives (in measurable terms) of the project? Is the goal achievable in

The purpose and benefits of organising data so that it can be analysed as you will be turning this data into information. Data is commonly known as information which is lacking meaning, therefore it cannot be analysed easily, however information is much more meaningful. We can filter the data and use it as needed which saves time scrolling through lots of unnecessary data. The benefits of organising data are that is can be easier to read and to understand. It also makes it quicker to find the information you need from it.

A questionnaire is research which involves a number of different questions to gather information from the people who are filling it in. Questionnaires are designed as a way to find out what people are thinking. An advantage of questionnaires is that it is very practical because it is quick to collect information from the people filling out the questionnaire. Another advantage of questionnaires is that the same questions is asked to everyone filling the questionnaire out so easy to sum up. The final advantage to questionnaires is that large information can be collected. There are also some disadvantages to questionnaires which is that there is no way of telling how much though someone who is filling the questionnaire out has put it. Another disadvantage is that the person filling it out may forget what has happened to fill it out so it won’t be reliable. The final disadvantage to questionnaires is that there is no way to tell how truthful a respondent is being.

Did you find any outliers on the dependent variables that were due to errors of coding? If so, what and why? How would you correct an error of coding?3

For me, I do not have enough knowledge about this project and there are so many topics that I do not have an enough in depth knowledge.And I am serious about the part of doing a questionnaire survey.

We designed a survey in class to collect information of how people interest in our designs. Then, we spent a week to interview people. So, our samples might be limited on time, space and quantity. Also, people might make choices without thinking due to the questionnaires are just imagined designs other than real products. It is reasonable to consider that those problems may lead to inaccurate data which may disturb the analysis result.

In addition to time, I think honest responses is also something researchers would need to consider when adding open ended questions to surveys. I think open ended surveys can be answered honestly, however, sometimes you also get answers that have nothing to do with your survey or unrealistic responses. In a survey given to high school students about our school store, students wrote in that we should start selling hot dogs. We are not allowed to compete with the lunch program and students would likely not come in for a hot dog over a Snickers bar. There were other responses that were not possible to add as well. Luckily, we had options for students to circle and that was a response that someone filled in on the "other" response line. Also, some

This week is very significant; it is practice time. I get to create my own survey. I chose to be creative although I had to face some challenges and issues. I developed a survey containing 10 different questions.

  ‘Mean’ is the total of all the values in the set of data divided by the

Furthermore they all starved for giving solutions to various life problems with mathematical tools and results that might be understandable for most of the population. In the last century studies of multivariate data sets become famous, scientists as Pearson (1901), Hoteling (1933) and Fisher (1936) had a great impact in those kind of data. In order to study such set of data they developed different techniques, and most of them were linear, where the concept idea is simple. First the most important methods were adapted for a better understanding of data structure and a way to summarise it in much simpler ways. Also to detect any existing relationship between the same data. And