There is considerable evidence that getting the correct operating conditions is more important than the choice between MRP, kanban, or reorder point methods in the MPC system. How general do you believe this situation to be? Submit your assignment to the Dropbox located on the silver tab at the top of this page. For instructions on how to use the Dropbox, read these step-by-step instructions or watch this Dropbox Tutorial. See the Syllabus "Due Dates for Assignments & Exams" for due date information.
The three types of qualitative research are phenomenological, grounded theory, and ethnographic research. What are the differences and similarities between two of the three types of studies? Both qualitative and quantitative researches are used in many different studies, including science and the social sciences. Qualitative research is a complete and thorough explanation of events, while quantitative research generates statistical models to elucidate events. Qualitative and quantitative researches have several advantages and disadvantages, depending upon the researcher’s plan and area of focus.
Steps to fixing dalman and Lei’s problems with a control system Steps to fixing dalman and Lei’s problems with a control system Steps to Fixing Dalman and Lei’s Problems with a Control System Elizabeth Burk For Dalman and Lei they need to set up a control system which has four major steps: Setting performance standards, Measuring performance, Comparing performance against the standards and determining deviations, and taking action to correct problems and reinforce success. In this paper I will go over theses four steps and how Dalman and lei should implement them to correct the problem of misreporting hours. The first step Dalman and lei need to do is setting performance standers. “Standards are targets that establish desired performance levels, motivate performance, and serve as benchmarks against which to assess actual performance.” (Bateman, 2013) Dalman and lei can set certain standers for their employee’s so they know what is
As long as we were able to identity two out of the three unknown variables, we could use the formula: PV=nRT to calculate the unknown value. 2. With regards to the actual procedure, what were the advantages and disadvantages to the gas law method. Advantages: -The lab quest gave us on point readings and measurements without human error -With each method, it is easy to replicate
3.7.1 Validity In qualitative research, validity refers to the extent to which the researcher manages to interpret the intended meaning from the language used by a participant whilst explaining their knowledge and experience (Saunders et al. 2012: 319). Interviews can result in a high level of validity as they enable flexibility and responsive interaction between the interviewer and participant allowing for meanings to be explored, topics to be covered from a range of viewpoints, and questions made clear to respondents. To ensure validity of the study, the researcher did not use any leading questions or preconceived ideas that could have influenced what is and not worth discussing as well as probed further and clarified questions that seemed
Hypothesis Testing and Confidence Intervals Utilizing the data provided AJ Davis Department Store performed Hypothesis Testing and Confidence Intervals performed to determine s the assumptions made are correct or incorrect. As with any Hypothesis test we must know some basic factors, such as sample size, sample mean, sample standard deviation, and you must have an hypothesized mean. Either through mathematical formulas, or by employing programs such as MS Excel and or Minitab, we can test whether or not the to reject or accept the hypothesis. For all subsequent testing, both MS Excel and Minitab will be utilized to determine whether or not accept or reject the null hypothesis. Assumptions are as follows: 1.
Was there a normal distribution? Defend your position by interpreting the normality tests. (0 marks as this question is part of data screening for the writing of the results in Task 10) The results show that the test is not significant as according to Smirnov and Shapiro-Wilk, the sig. =.200, .175, .183 and .122, which are greater than .05. Thus meaning that the assumption of normality was met According to skewness and kurtosis there is no problem with normality as both scores of -1.57 (skewness) and -0.39 (kurtosis) are both within the range of +/- 3.29.
Which is essential to objective reporting takes place, and scientists need to use critical thinking skills and be skeptical when analyzing data. The scientific method is an involved method to ensure that research is ethically complete (Shaughnessy, Zechmeister, & Zechmeister, 2009). In research two types of data exist, quantitative data, and qualitative data. Quantitative data refers to data that involves numbers; behaviors or objects that can be counted, such as statistics, percentages, and formula-based analysis (Shaughnessy, Zechmeister, & Zechmeister, 2009). Qualitative data refers to data that consists of verbal summaries, observations, or analysis.
Accuracy vs Precision By Charlia K Rice Accuracy and precision go hand in hand when it comes to making sure that things are done properly in the science field. Accuracy measures the closeness of the amount to the amounts actual value. Precision is the ability to repeat something without changing anything and getting the same results. When measuring something it can be accurate and not be precise, and precise but not accurate, neither one of them, or it can be both of them. If something contains precision and accuracy then that makes it the perfect experiment.
Research designs are a type of quantitative design used to gather data in evidence-based practice (EBP) clinical situations. Depending on the type of data required there are several types of data collections that occur depending on needs or requirements by the researcher. Boswell & Cannon (2014), states that quantitative designs can be experimental, nonexperimental, or quasi-experimental (p.204). Experimental design is a design that includes randomization, a control group and manipulation between or among variables to examine probability. Rigor and control of extraneous variables allow researchers to establish a cause-effect relationships testing casual relationships (Polit and Beck, 2012).Experimental designs strengths are that a researcher gains first hand knowledge based on the use of actual tests and trials.