Communication and Professional Research-Free-Samples for Students

Questions: 1.Requires you to understand the nature of data collected using a Likert scale. You will need to understand the limitations of data collected in this way in order to be able to explain why the manipulation in the question is not valid. 2.You will need to be a little creative with this one. You will need to consider whether the people filling out the survey are an accurate representation of all Customers and explain. 3.Is a little more straightforward. For each sub-question you need to think about what the nature of the data is and which categorization suits it best. 4.You will need to think about the requirements for each type of quantitative study. Think of how the hypothesis might be tested in each of these three ways. Answers: 1.As per the provided situation, it can be said that there are 100 customers and all of them provides response of the survey. The scores will be represented as strongly disagree, disagree, unsure, agree and strongly agree. Two types of processes have been shown in the situation. In the first situation, it is 100 if all the number of customers is added up. On the other hand, it will be 100% in case the total percentage of responses is added up. Thus, it can be seen that it is a correct and effective process to summaries the data. However, in case of the second situation, it can be seen that the number of customers in each slot is multiplied with the number of ranks. For this reason, the total number of surveys customers becomes 319. This is wrong information, as the total number of surveyed customers is 100. For this reason, this process fails to provide the valid summary. In this reason, it needs to be mentioned that the first method is more valid process to present the data as it pr ovides the actual and correct value of the customers and values. 2.From the provided situation, it can be seen that the customers can fill out the survey from the stores website. In this regard, it needs to be mentioned that in some situations, the collected data from the survey do not reflect the true perception of the customers; and in some situations, the collected data from the survey do reflect the true perception of the customers. There are many reasons of this. It can be happened that the customers fill the survey out of fun. Thus, in this case, the survey will not reflect the true intention of the customers. There are situations where the customer is extremely happy with the product or service or is not satisfied with the products and services of the company. In these situations, the customers may share their satisfaction or dissatisfaction by taking participation in the survey. In this cases, the data collected will reflect the true perception of the customers. Thus, based on the above analysis, it can be said that collected data does not always reflect the true perception of the customers. 3.In case of Gender, nominal data are collected. Nominal data are collected as gender is considered as categorical variable that have two categories; they are male and female. In addition, there is not any intrinsic ordering to the categories. In case of Fahrenheit thermometers and Kelvin thermometers, interval data will be collected. Temperature is a kind of element that is used to illustrate an interval scale. Thus, interval data will be collected. In case of the number of items a customer buys, ordinal data will be collected. Ordinal variables helps to categorize different kinds of values. Thus, in this case, ordinal data will be collected. In case of bank account balances, ratio scale type of data will be collected. Ratio scale variables are considered as interval variables. In this case, zero (0) measurement indicates that there is not any balance left in the bank. This same theory is applicable for the bank balances. 4.In case of descriptive non-experimental study, predictor variable can be seen. With the help of these variables, the hypothesis can be tested in a descriptive way. For this reason, case study can be developed to test the hypothesis. Quasi experiment study is the next step of descriptive non-experimental study. In this case, variables are taken into consideration; the variables are three times per week and four days each week. However, in the experimental study, the hypothesis is tested in a proper basis, as this is the combination of above two steps. Thus, an experimental study will provide firmest evidence.