Note: Do not complete this assessment until you have received faculty feedback on Assessment 1.The survey you are designing will include describing the population of interest and the sampling method you intend to use. In the next assessment, you will use a data survey generator to produce responses to those questions.Demonstration of Proficiency
By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies through the following assessment scoring guide criteria.Competency 1: Interpret a data set’s central tendency and variability using descriptive statistical procedures. Estimate potential response values for survey questions.
Competency 2: Evaluate the adequacy of data collection methods. Explain why a specified sampling strategy for a survey is appropriate.
Develop survey questions for a study.
Note: Do not complete this assessment until you have received faculty feedback on Assessment 1.Use the Data Collection Template [DOC] to complete the assessment. Make sure you address each of the three questions in detail and fill in all the required information in the table.This assessment is the second step in the process of developing a survey. In this assessment, you will define your data collection strategy, which includes developing six survey questions. To allow you to focus your time and effort on the actual survey tool and analysis, this course uses a software program to provide the data. Using technology to generate survey data causes hypothetical restrictions in your survey design. As a result, the number and type of questions you write for your survey must follow the Data Collection Template for this assessment.Note: After you submit your survey questions, faculty will provide feedback on them. When you receive feedback, you can proceed with data collection using the Survey Data Generator in Assessment 3.Directions
Develop six questions for your survey. Keep in mind that you will not be conducting the survey by mailing or e-mailing questionnaires. Your survey responses will be determined by an electronic survey generator, which accepts only certain types of questions; therefore, the types of questions you can ask for this assessment are very specific and must adhere to the guidelines listed below. In the future, as you design surveys to solve problems or answer key questions in your professional life, you will likely draw from a broader range of question types.Guidelines for the QuestionsAll six survey questions should be stated in question form. They should be written like they are being asked directly to a survey participant. For example, you would ask “How many cats do you own?” rather than stating “The number of cats owned.”
The first four questions (1–4) must be binary—that is, they have only two possible responses. Examples of this are yes/no, true/false, and male/female (to name a few).
The last two questions (5 and 6) must be quantitative. These questions have to elicit a single numeric response. Survey participants can respond with only one number.
There are certain types of questions that are not within the parameters of the project. The following types of questions cannot be asked:Do not ask questions where survey participants have to explain something. This includes short answer and fill-in-the-blank questions.
Do not use a Likert scale, in which a participant would choose from responses such as strongly agree, agree, neutral, disagree, and strongly disagree.
Avoid questions where a participant chooses a number on a scale, such as 1 to 10 or 1 to 5.
Do not ask any questions that are contingent on another question. Each question must have a stand-alone response.
Do not ask questions that have already been answered by how you have defined your population. For example, if your population includes only males, do not ask “Are you male or female?”
Guidelines for the Minimum and the Maximum of the QuestionsThe minimum is the lowest number that you think a participant can or will respond with. The maximum value is the largest value that you think a participant can or will respond with. To determine these values, make an educated estimate based on your population and the research you have conducted on the issue. For example, if we are surveying Capella learners, we might ask “What is your age?” In this situation, a minimum age might be 16, and a maximum age might be 85. Note that it is possible to be outside these ranges. The minimum and the maximum are approximations, or likely ranges, of what you expect.Your binary questions will not have a minimum or a maximum.
You will need to set a minimum and a maximum for each of the quantitative questions.
The minimum and the maximum are each one single number.
Guidelines for the Expected Values for Typical Responses to the QuestionsThe typical responses will help the program that generates your hypothetical data produce more realistic participant responses based on your knowledge of the issue you are studying. The typical response will fall between the minimum and the maximum. It is the value you think will be the most common response from a survey participant. Base the typical response on your knowledge of what you are surveying and the research you have conducted on the issue.You will not need to fill in a typical response for questions 1 through 4.
The typical responses for the quantitative questions should be what you think the mean (average) of all the responses will be.
The typical response is one single number.
Defining Your Data Collection StrategyReminder: Use the Data Collection Template [DOC] to define your strategy.
Include the following items in your strategy: Your target population for the survey.
Your sampling strategy and how you would attempt to conduct your survey. Be sure to include some rationale for your strategy and any potential issues that might affect your survey results.
Your six survey questions following the guidelines presented above. Be sure to document the expected value along with a reasonable minimum value and maximum value in the table, as you will use these pre-survey values in later project components.
In Table 1 of the Data Collection Template, fill in every box that says “you fill in” and then remove that message once you have done this. Your final product should have a response in every box; there should be no empty boxes in the table.
Learning Goal: I’m working on a statistics test / quiz prep and need an explanation and answer to help me learn.
Show all work to be eligible for full credit. You know what the work looks like because we have done these types of problems in our guided notes. Show all steps like we do in our guided notes.You will either print this out and hand write your answers or type up all answers in this handout and submit in MSL in pdf format.
Fixing The Data
Statistics Assignment Help I have done this research data. It is about 60% done. But I do need help on adding and fixing
These below were comments, that what need to be fixed and to getter better data
I need help on fixing:
Abstract: The abstract should summarize each part of the paper. This abstract does not clearly state the hypothesis. Additionally, the results should be framed by their relevance to the study and the hypothesis. Also, a brief summary of the paper’s conclusion should be included.
Introduction: First, the introduction does not meet the 5 paragraph minimum (each paragraph 4 to 6 sentences only) see the criteria . The stated hypothesis is not an actual hypothesis as it does not make any sort of prediction. Additionally, when stating results from the survey include the relevant data (n=?, % of participants, etc.). The reason given for using descriptive statistics over inferential statistics seems irrelevant. Finally, the introduction does not identify gaps in the research or clearly explain why this study was conducted
-Section A. Participants: This section states that ethical procedures were followed, but does not provide a reference to the ethical guidelines. Additionally, the writer states that 200 participants are required but does not provide a reason why such a large sample is necessary for this study. Generally, this is a confusing paragraph.
-Section B. Materials: The writer includes examples of measures, but should include the relevant data.
-Section C. Procedure: The writer claims that this is a correlation study and that data is assessed using the Pearson Coefficient, however, this is a descriptive study.
4. Results: The results section is just raw data copied and pasted from the survey results. This is incredibly difficult to understand as a reader. The writer should write out the results, including only the relevant questions and data (median and range are not needed), in sections appropriate for their hypothesis (see the example ‘A’ papers). Additionally, the results section should include a brief description of the software used for analysis (SPSS) and the method of data analysis (descriptive).
5.Discussion: The first half of the discussion section restates the same point several times and is confusing to read. Also, the discussion section fails to meet the 4 paragraph minimum. While limitations are briefly discussed; limitations require an individual section. I would recommend a section dedicated to discussing how the results are linked to your hypothesis and a section to discuss future research. Also, the writer states in the introduction that this study required 200 participants (which this study did not meet) but contradictorily states that this study had too many participants in the discussion. Furthermore, the justification is that 172 participants were too many to analyze, but no reason is given as to why this was a limitation. The discussion section should include an overall conclusion to the paper including why this work was meaningful. Finally, there are no in-text citations in the discussions section.
6.The reference list does not meet the minimum requirement of 6 and is not formatted in accordance with APA guidelines. Need to add one more
Also, to make it easier here is the criteria as a better view:
-Title page: Title page is APA style
-Abstract: 200-250 word abstract in APA style summarizing each section of the paper.
There are at least 5 paragraphs
Hypotheses are clearly stated
All changes have been incorporated
Introduction clearly explains why the research is being conducted- including identifying gaps in the research
Introduction is formatted in APA style, include in-text citations
There are at least 3 sub-sections.
Written in APA style
Examples of measures are included when necessary
Suggested changes have been incorporated
Descriptive statistics for demographic variables and variables of interest are provided.
Results are reported in APA style
There are at least 4 paragraphs, including a required “limitations” section
Formatted in APA style, including in-text citations
Reference page is formatted in APA style. You have AT LEAST 6 different references that you also cited in the body of your paper.
I attached the “research of social media” this file need to fixed. Also, a file for the result but need a question along with hypothesis.
2) A patient fills a prescription for a 10-day regimen of 2 pills daily. Unknown to the pharmacist and the patient, the 20 tablets consist of 18 pills of the prescribed medication and 2 pills that are the generic equivalent of the prescribed medication. The patient selects two pills at random for the first day’s dosage. If we check the selection and record the number of pills that are generic, is this a binomial experiment?
6) Suppose the average daily yield ? of a chemical is to be estimated, and the needed margin of error is to be less than 4 tons. This means that approximately 95% of the time in repeated sampling the distance between the sample mean and the population mean ? will be less than 1.96 SE, and that this quantity has to be less than 4. Given that a prior study of the chemical process produced a sample standard deviation of21 tons, at least how large does the size of a sample have to be, so that one could be reasonably certain (with probability approximately equal to 0.95) that the estimate of the average yield will be within 4 tons of the actual average yield ?
7) Two independent experiments are run in which two different types of paint are compared. Eighteen specimens are painted using type A, and the drying time, in hours, is recorded for each. The same is done with type B. The population standard deviations are both known to be 1.0. Assuming that the mean dryingtime is equal for the two types of paint, find ??????????????, where ??? and ??? are average drying times for samples of size ? ? ?? ????. Assume that both experiments are normally distributed.
8) A study wishes to show that the average hourly wage of carpenters in the state of California is differentfrom $14, which is the national average. Suppose that a random sample of 100 California carpenters produces a sample mean of $15 with standard deviation $2. At a confidence level of 95%, is this study able to conclude that the average hourly wage of carpenters in the state of California is indeed different from the national average ?
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