Lecture 7.docx

# Lecture 7.docx - Lecture 7 sampling and standard error...

• Notes
• 2

This preview shows pages 1–2. Sign up to view the full content.

Lecture 7- sampling and standard error Samples and sample means differ from each other The distribution of sample means is the collection of sample means for all possible random samples of a particular size (n) that can be obtained from a population Sampling distribution (of sample M) is the distribution of statistics calculated from all possible samples of a particular size (n) that can be obtained from the population We calculate the mean from every possible sample to estimate the population mean Sample means pile up around the population mean Distribution of sample means is approx. normal in shape The distribution of sample means can be used to estimate probabilities Determining the distribution of sample M Central limit theorem - Applies to any population with mean and std dev. - Distribution of sample means approaches a normal distribution as n approaches infinity - Distribution of sample means for samples of size n will have a mean of µ M -

This preview has intentionally blurred sections. Sign up to view the full version.

This is the end of the preview. Sign up to access the rest of the document.
• Spring '16

{[ snackBarMessage ]}

### What students are saying

• As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

Kiran Temple University Fox School of Business ‘17, Course Hero Intern

• I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

Dana University of Pennsylvania ‘17, Course Hero Intern

• The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

Jill Tulane University ‘16, Course Hero Intern