I need help I need a one-sample T-test that I will test against.

My test variable is " highest year of school completed"

I need a research question and a testable hypothesis

Find Test value from credible sources like census or vital statistics (provide the source)

1. Briefly state the purpose of the study (what you intend to accomplish).
2. Briefly and explicitly state why this study is important.
3. State what you are doing (e.g., comparing means/examining differences; examining relationships; predicting values).

Data and Methodology

1. Identify the variables.
2. Identify the level of measurement for each variable.
3. State the independent, dependent, and control variables (multiple regression exercises will have control variables).
4. Identify the unit of analysis.
5. State the research question then state a directional or non-directional hypothesis and the null hypothesis (report the appropriate symbols, H₁, H₀).The RQ and hypotheses should flow from the introductory narrative. Make sure each hypothesis is specific.

1. Identify the statistical technique that is relevant for this research question and state why you chose this technique (What test is appropriate for this research question? Why is this particular test appropriate to test your hypothesis?).

1. Organize the results section around the research question. Restate the research question and begin to draft the narrative.

Descriptive Statistics

1. The proper order of narrative and tables is always: 1) descriptives statistics, 2) correlation analysis; 3) multivariate analysis.
2. Always present the descriptive statistics narrative first. Include and explain: n, %, mean, median, mode, standard deviation, skewness, kutosis and overall normality and any other relevant statistics based on the level of measurement; this includes parent categories and subcategories. After each narrative present the relevant tables and figures (i.e., descriptive statistics then descriptive tables; correlation narrative then correlation matrix; inferential narrative then inferential table).
3. Which of these measures of central tendency is best suited for the distribution? Explain.
   1. The mean is usually the best measure of central tendency to use when the data distribution iscontinuousand symmetrical, such as when your data is normally distributed.
   2. The median is usually preferred to other measures of central tendency when the data set is skewed (i.e., forms a skewed distribution) or you are dealing with ordinal data.
   3. The mode is mode is the best measure of central tendency (as it is the only one appropriate to use) when dealing with nominal data.
4. Present all appropriate statistical symbols (e.g., r, n, %, M, p value, S.D., beta weights, R, R²...etc.).
5. Examine the graphic distribution of a scale-level dependent variable.
   1. Present the skewness and kurtosis values and overall normality of the dependent variable.
   2. If the dependent variable is skewed, then transform the variable before running inferential statistics.
   3. Append the histogram with normal curve to the homework assignment.
6. Interpret the data beyond merely reporting the numbers (interpreting data means reviewing the datato assign some meaning to it and arriving at a relevant conclusion or making an informed decision. It involves taking the result of data analysis, drawing inferences on the relations or differences that were studied, and using them to conclude or decide something).

1. Begin with a summary of the research.
2. Discuss and explain the findings (refer to the research objective).
3. Provide a theoretical explanation for the findings (Drawing on theories from your coursework, explain the findings).

1. The limitations of a study are those characteristics of design or methodology that impacted or influenced the interpretation of the findings in the research. They are the constraints on generalizability, applications to practice, and/or utility of findings that are the result of the ways of the study's initial design or the method used to establish internal and external validity or the result of unanticipated challenges that emerged during the study.
2. Identify the limitations of the study:
   1. What else would you need to strengthen the study?
   2. Why is generalizability, application to practice and/or utility of the finding constrained?
   3. What other statistical techniques would make this a stronger study?