Stats 151 - Estimating population mean from sample mean

Description

Chemistry 101 Stats 151 Flashcards on Stats 151 - Estimating population mean from sample mean, created by jennabarnes12387 on 24/02/2014.
jennabarnes12387
Flashcards by jennabarnes12387, updated more than 1 year ago
jennabarnes12387
Created by jennabarnes12387 almost 11 years ago
29
1

Resource summary

Question Answer
What is P^ Numbers that all lie on a bell curve distribution that are used to predict the structure of a graph
What are the sample proportions? The estimates of the unknown value p
What is the difference between good and bad estimates of p? Good values are the values that an close to the centre
What is the parameter The mean of the population
How do we calculate x bar? N(u/sigma over Square root of n)
If we want to find the population mean what do we have to find first? The centre area of the graph or 1 - alpha which is where the good estimates are.
Often you are given 1 - alpha and are aske to find the value of m. How do you do this? M=Z under script a/2 (sigma/square root of n) sigma is rarely known. If n is greater then 30 we can use standard deviation instead. If n is less then 30 we use t distribution.
What is t distribution. Same as z distribution but with t instead
What I'd you are given the confidence level. What do you do? 1-a is equal to the confidence level. To find the outer sections use alpha over 2. Add this to your value of alpha to get the area of the big section and one small section together. Use this value to find the z so are and plug it in for Z under script a/2 and solve
Show full summary Hide full summary

Similar

Statistics 151 - Data Collection
jennabarnes12387
Stats 151 - Z-Scores
jennabarnes12387
Stats 151 - Mean, Standard Deviation, and Empire Rule for Random Variables and Binomial Distribution
jennabarnes12387
Statistics 151 - Qualitative Con. and Quantitative Data
jennabarnes12387
Stats 151 - Normal Curve Z Scores and Probability
jennabarnes12387
Stats 151 - Assigning Probability to Events
jennabarnes12387
Stats 151 - Range, 68-95-99.7 rule, Chebychev's rule, and percentiles
jennabarnes12387
Stats 151 - Random Variables and Probability Mas Function
jennabarnes12387
Stats 151 - Representation of Continuous Random Data
jennabarnes12387
Stats 151 - Testing a Hypotheses
jennabarnes12387
Stats 151 - Predicting Outcomes with Probability
jennabarnes12387