The purpose of this assignment is to use inferential statistics and apply it to a research question. The research question consists of two variables, the first variable is gender and the second variable is knowledge about their target blood pressure. In order to analyze the two variables within a sample, the writer will go through seven hypothesis testing steps, with the results obtained a discussion of the finding will be provided, implications to research and nursing practice explored and lastly a discussion on demographic data from the previous assignment.
Hypothesis Testing
There are seven steps that will be used within this paper to test a hypothesis. These steps include the following; Step 1: which is stating the null hypothesis, stating the research hypothesis, identifying the target population and sample population, identifying the independent variable and dependent variable. Step 2: establishing the level of significance. Step 3: selecting a one-tailed or two-tailed test. Step 4: conducting the test and excel and providing the results as an excel output. Step 5: calculating the degree of freedom. Step 6: stating the critical value to exceed by the calculated test statistic. Lastly, Step 7: comparing the calculated test statistic and to the level of significance and making a decision about the results. The following steps will be explained in further detail below.
Question One: Step 1 of Hypothesis Testing
The Null Hypothesis
A null hypothesis statement
Hypothesis is typically used in quantitative research only. Moreover, when a question poses an inquiry on the relationship between two variables, a hypothesis is a statement declarative in nature of the relationship between different variables (Pajares 2007). A researcher chooses whether to use a question or a hypothesis depending on the purpose of the research, its objectives, the methodology for the research and the preference of the audience to receive the research. A researcher must be able to interpret the final outcome with reference to the research questions or the hypothesis used (Pajares 2007). A research requires a minimum of two hypotheses namely a null and an alternative hypothesis.
Select one (1) project from your working or educational environment that you would use the hypothesis test technique. Next, propose the hypothesis structure (e.g., the null hypothesis, data collection process, confidence interval, test statistics, reject or not reject the decision, etc.) for the business process of the selected project. Provide a rationale for your response.
Topics Distribution of the sample mean. Central Limit Theorem. Confidence intervals for a population mean. Confidence intervals for a population proportion. Sample size for a given confidence level and margin of error (proportions). Poll articles. Hypotheses tests for a mean, and differences in means (independent and paired samples). Sample size and power of a test. Type I and Type II errors. You will be given a table of normal probabilities. You may wish to be familiar with the follow formulae and their application.
According to the website http://womenissues.about.com/cs/abortionstats/a/aaabortionstats.htm there are approximately 126,000 abortions conducted each day throughout the world. This website includes the abortion statistics of the world and breaks the data down to the demographics of the United States. It also discusses the decisions to have an abortion and the use of contraceptives in the United States. This was an informative website and included detailed statistics conducted by the Alan Guttmacher Institute. According to the website http://www.bls.gov/cps in 2000, gon average there were roughly 135 million employed and 6 million unemployed people in the labor force in the United States.h (p. 3) The websites definition of
When you perform a test of hypothesis, you must always use the 4-step approach: i. S1:the “Null” and “Alternate” hypotheses, ii. S2: calculate value of the test statistic, iii. S3: the level of significance and the critical value of the statistic, iv. S4: your decision rule and the conclusion reached in not rejecting or rejecting the null hypothesis. When asked to calculate p–value, S5, relate the p-value to the level of significance in reaching your conclusion.
c) What is the null and alternative hypothesis? Do the data results lead you to reject or fail to reject the null hypothesis?
The null hypothesis was that the female and male shoe sizes have an equal mean while the alternative hypothesis was that female and male shoe sizes do not have an equal mean. With the degrees of freedom being 33, the t-statistic is -8.27. The probability that -8.27 is ≤-1.69 is 7.5×10-10 for the one-tailed test. Also, the probability that -8.27 is ≤ ±2.03. is 1.5×10-9 for the two-tailed test. Due to both probabilities being under the alpha value of 0.05, the null hypothesis is rejected, and the alternative hypothesis is accepted at the 95% confidence level.
Below all five steps of hypothesis testing will be examined to determine what the researcher should conclude:
11. List the five steps of hypothesis testing, and explain the procedure and logic of each.
The analysis of the data was done by employing the following statistical techniques which were chosen only after the investigator found them to be most appropriate and compatible to the data. Each statistical method is based upon its own specific assumptions regarding the nature of the sample, its universe and research conditions. These factors were considered in advance. Following statistical measures were
The coefficient is 403.for any increase in size, the credit balance will change by beta-hat
A pharmaceutical company is testing the effectiveness of a new drug for lowering cholesterol. As part of this trial, they wish to determine whether there is a difference between the effectiveness for women and for men. Using = .05, what is the value the test statistic?
| Based on explicit knowledge and this can be easy and fast to capture and analyse.Results can be generalised to larger populationsCan be repeated – therefore good test re-test reliability and validityStatistical analyses and interpretation are
This case problem is related to a property purchase strategy. The president of Oceanview is deciding whether to bid for a property to build and sell condominiums. However, this depends on whether the state can change the zoning of the property to permit construction of condominiums. Here, the decision is whether to bid for the property, and chance events are firstly, whether the bid can be successful, and secondly, whether the state will approve the zoning change. To assess the likelihood that the state will approve the zoning change, the president can hire a market research service. Hence, the president is facing another decision as
The objective of this chapter is to describe the procedures used in the analysis of the data and present the main findings. It also presents the different tests performed to help choose the appropriate model for the study. The chapter concludes by providing thorough statistical interpretation of the findings.