Statistics forms an important part of most systems including business, engineering as well as science. It is therefore extremely important to understand the nuances of the system. To understand if the proportion expected is significantly different from the actual proportion, a hypothesis test for proportion is required. This is an integral procedure in statistics that is used to understand which of the multiple statements or situations is best supported by the data at hand. Majoring in statistics opens a large number of avenues for people including those in investment banking, financial sector, risk and data analysis, industries like consumer products, healthcare, manufacturing, and technology sector. However, to command a good salary, you need to be an expert in your field. Since hypothesis testing forms a major part of the job, you need to be excellent in it. This has given rise to many students requiring Hypothesis Testing assignment help.

Steps to Perform Hypothesis Testing for Proportion

It is extremely important to have a grasp on the subject if you wish to excel in it. The most important steps to help you statistically analyze any situation include:

  • Formulation of Research Question: The objective of the research should be clear before formulating the questions. Also, keep in mind that the statistical analysis (a test used) depends on the questions asked. Be clear of the objective and ultimate goal before formulating the questions.
  • Opt for Simple Random Sampling: Select a random sample where the result can be one of the two possible outcomes – success or failure. Also, keep in mind that the population size must be 20 times the sample size and the sample should include 10 positive and negative results.
  • State Null Hypothesis and Alternative Hypothesis: The Null Hypothesis contains equality and is to be refuted while the alternate hypothesis is the one that the individual is trying to confirm. Both these hypotheses are mutually exclusive (i.e. only one can be true at a time) and collectively exhaustive (either of the 2 outcomes must occur)
  • Set Significance Level (Alpha): Alpha is the probability of rejecting the null hypothesis in case it is true. Generally, the significance level is set at 0.05, but 0.1 and 0.01 levels are also used.
  • Calculate Test Statistics (Z test): The Z test is calculated using the formula z= (P-P0)/SD where SD is standard deviation= sqrt (P0*(1-P0)/n) and P is sample proportion and P0 is hypothesized population proportion and n is the sample size.
  • Convert Test Statistics to find Probability (p-value): The p-value in a randomly selected sample would have sample statistics as different as that obtained. In a normal curve, it is the tail area in the alternative hypothesis direction.
  • Use Probability to Select between Null Hypothesis and Alternative Hypothesis: Compare the null hypothesis with the alternate hypothesis using p-value and alpha. If p<alpha, the null hypothesis is rejected, in case p>alpha, the null hypothesis is accepted.
  • Conclude Your Research: Based on the statistical analysis conducted, you can conclude your research in favor of or against the hypothesis.

Considering that developing an understanding of such complex topics requires time, students opt for assignment writing help. A number of websites like BookMyEssay provide online assistance for students, making things easier for them.