# What are the considerations or factors that you have to consider in preparing a research proposal?

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## What are the considerations or factors that you have to consider in preparing a research proposal?

Structure of a research proposal

• Title and abstract.
• Introduction (background information) and literature review.
• Statement of hypotheses and/or research questions.
• Aim and objectives.
• Methodology.
• Ethical considerations.
• Resources required.

## What assumptions must be satisfied in order to use a confidence interval?

Assumptions and Conditions

• Randomization Condition: The data must be sampled randomly.
• Independence Assumption: The sample values must be independent of each other.
• 10% Condition: When the sample is drawn without replacement (usually the case), the sample size, n, should be no more than 10% of the population.

What are the assumptions for a confidence interval?

The confidence interval of the mean of a measurement variable is commonly estimated on the assumption that the statistic follows a normal distribution, and that the variance is therefore independent of the mean.

### How do you know if a confidence interval is successful?

So, if your significance level is 0.05, the corresponding confidence level is 95%. If the P value is less than your significance (alpha) level, the hypothesis test is statistically significant. If the confidence interval does not contain the null hypothesis value, the results are statistically significant.২ এপ্রিল, ২০১৫

### How do you determine a confidence interval?

How to Construct a Confidence Interval

1. Identify a sample statistic. Choose the statistic (e.g, sample mean, sample proportion) that you will use to estimate a population parameter.
2. Select a confidence level.
3. Find the margin of error.
4. Specify the confidence interval.

What is the 95% confidence interval for the mean difference?

Thus, the difference in sample means is 0.1, and the upper end of the confidence interval is 0.1 + 0.1085 = 0

## What does the 95% represent in a 95% confidence interval?

Strictly speaking a 95% confidence interval means that if we were to take 100 different samples and compute a 95% confidence interval for each sample, then approximately 95 of the 100 confidence intervals will contain the true mean value (μ). Consequently, the 95% CI is the likely range of the true, unknown parameter.  By Admin