Select a variable (mean or proportion) of interest to you and collect or find the data. BEFORE you collect the data, decide what a likely mean or proportion might be. Then address the following (and a little more) in your project.
a. Write a brief statement of the purpose of the study.
b. Define the population.
c. State the hypotheses for the study.
d. Select an alpha value.
e. State how the sample was selected.
f. Show the raw data.
g. State the decision based on the P-value..
h. Summarize the results.
How would you like us to help you with this assignment?
if u can give me an example
if i select on how many people did not have college degree
a. The purpose of your study is to find the number of people without college degrees.
b. Are you interested in the total U.S. population -- or just your city -- or a specific profession -- or??? Who is your population?
c. What is your alpha value?
http://www.micquality.com/six_sigma_glossary/alpha_value.htm
d. How will you select your sample population?
a. The purpose of the study is to determine the mean household income of residents in a specific town.
b. The population for this study would be all households in the specific town.
c. The hypotheses for the study can be defined as follows:
- Null hypothesis (H0): The mean household income in the town is equal to the likely mean income estimated before collecting data.
- Alternative hypothesis (Ha): The mean household income in the town is not equal to the likely mean income estimated before collecting data.
d. Let's select an alpha value of 0.05, which is a commonly used significance level in statistical hypothesis testing.
e. The sample for this study can be selected using a random sampling method. This would involve randomly selecting a subset of households from the town to participate in the study. The sample size should be large enough to provide a representative sample of the population.
f. Here is an example of raw data collected from a sample of households in the town:
Household 1: $60,000
Household 2: $75,000
Household 3: $80,000
Household 4: $65,000
Household 5: $70,000
...
g. To determine the decision based on the p-value, we would need to conduct a statistical test, such as a one-sample t-test, to compare the sample mean to the likely mean income. The p-value would indicate the probability of obtaining a sample mean as extreme as the one observed (or more extreme) if the null hypothesis were true. If the p-value is less than the chosen alpha value of 0.05, we would reject the null hypothesis. If the p-value is greater than or equal to 0.05, we would fail to reject the null hypothesis.
h. Based on the results of the statistical test, if the p-value is less than 0.05, we would reject the null hypothesis and conclude that the mean household income in the town is different from the estimated likely mean. If the p-value is greater than or equal to 0.05, we would fail to reject the null hypothesis and suggest that there is not enough evidence to conclude that the mean household income in the town is different from the estimated likely mean. The summarized results would include the sample mean, the p-value, and the conclusion based on the hypothesis test.