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In: Statistics and Probability

Sample estimate: Describe the process of your preliminary study for obtaining the sample proportion. Describe your...

Sample estimate: Describe the process of your preliminary study for obtaining the sample proportion. Describe your sample selection and data collection. Be sure to report the number of successes and failures in your preliminary study.

could this be explained in simpler terms for me thank you

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ANSWER::

Preliminary study for obtaining the sample proportion

If repeated random samples of a given size n are taken from a population of values for a categorical variable, where the proportion in the category of interest is p, then the mean of all sample proportions (p-hat) is the population proportion (p).

As for the spread of all sample proportions, theory dictates the behavior much more precisely than saying that there is less spread for larger samples. In fact, the standard deviation of all sample proportions is directly related to the sample size, n as indicated below.

Data collection and sample selection

Sampling is a tool that is used to indicate how much data to collect and how often it should be collected. This tool defines the samples to take in order to quantify a system, process, issue, or problem. The sample, the slice of bread, is a subset or a part of the population. Now consider a whole bakery. It is the whole population.

There are many ways to collect data -

- Direct observations(interviews, self-administered observations)

- Experiments

- Surveys

The number of failures in the sample selection and data selection can be many, when you try to do this, you come across many unreliable data sources, which can not be used in your journey. Here, you have to mention the number.

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