Does anyone know what a point estimate of a population mean is and how to find it? I googled it and spent the last hour reading every link that came up in google. I still have no idea have to find this point estimate. I actually just pulled out a few strands of hair, tugging on my bangs. That's never happened to me before, so this is really driving me crazy! My stats professor is a guy from India and you can not understand a word he says, and he doesn't understand our questions at all. Someone asks a question and he answers with something that isn't even relevant to the question asked. Everyone in the class tries to make him understand the questions and he just like NEVER gets it. So I think the rest of the class is as lost as me. So anyone, PLEASE help me! ;_;

Don't take my answer as absolute truth.... but this terminology comes into play when making statistics of a subset of values. So if you have a process, and you measure a group of them.... from this group you get an estimate of the mean. This isn't the true mean of the whole population, but based on the sample you can figure out how close you are. So for example you want an average response from teens, you can't ask every single teenager your question to get the true mean response - so from your subset you get a point estimate. And you say its close to an average response based on how you determine the variation in the measurement. I would get confused about this all the time in stats class too.

WIKI SAYS: "In statistics, point estimation involves the use of sample data to calculate a single value (known as a statistic) which is to serve as a "best guess" for an unknown (fixed or random) population parameter." So I guess one example would be summation of values divided by number of samples?

A point estimate is a single discrete value given as an estimate, rather than a range of estimated likely values. Thus, most estimates have a confidence interval, point or otherwise.

Yeah, I already found the confidence intervals, but I still can't figure out how to find the point estimate.

I think its as simple as an average with error bars on it. So if you have 25 different numbers. You can figure out the exact average/mean for those numbers. If you take any 5 of those 25 you can figure out the mean of the sample (estimate) with a confidence level (error bar) which should be comparable to the exact mean.

Its an average with a confidence interval (error bar) to tell you how fuzzy the number actually is. The issue I always had was that then you are asked to get the "true average" and I could never wrap my mind around how your ever going to know that number.

1. Suppose you are interested in estimating the mean height of the population of people between the age of 12 and 14 years. Assume that the height follows a normal distribution with unknown population mean (μ) but with known standard deviation (σ) = 6 cm. A random sample of 31 people of the given age group is selected. The same mean height (x-bar) = 147.4 cm. 1.1 What is the point estimate of μ? 1.2 Construct a 95% confidence interval (CI) for μ. 1.3 Construct a 99% confidence interval (CI) for μ. 1.4 Construct the respective cures and identity the CI (95 & 99) areas as well as the rejection areas/critical regions. 1.5 Interpret both the CIs. I can answer all the parts except 1.1