Module 3 Flashcards
(42 cards)
statistical inference
idea of using sample data to provide evidence about population parameters
what can we use to estimate unknown population parameters?
- Point estimates
- confident intervals
point estimate
single value used as an estimate of a population parameters
Xbar
sample mean
u
population mean
________ the sample mean is a point estimate of _________
xbar sample mean is a point estimate of u the population mean
s^2
sample variance
o^2
population variance
_______ the sample variance is an estimate of ______________
s^2 the sample variance is a point estimate of the o^2 the population variance
s
sample standard deviation
____ the sample sd is a point estimate of ______________________
s the sample sd is a point estimate of o the population sd
what are point estimates influenced by ?
sampling error
the variation of a point estimate from one sample to another represents the extent of ___________________
sampling error
Sampling error in relation to sample size
Smaller samples have more sampling error than larger samples so we expect point estimates from small samples to have more sampling error than point estimates from larger samples
formula for the standard error of the mean
represents the amount that the sample means are spread around the population mean of a variable - or amount that a sample mean is expected to differ from the population mean on average
oxbar = o/sqrtN
the bigger N gets the smaller oXbar gets - mean has less sampling error with larger N
confidence interval
range of values or an interval that is expected to capture a population parameter of interest with some prespecified level of confidence
presents a range of plausible or reasonable values for the population parameter
Confidence limits
specify the particular range of values for a confidence interval
smallest value = lower limit
biggest value = upper limit
confidence intervals in relation to sample size
confidence intervals from small samples are wider than confidence intervals from larger samples
central limit theorem tells us that the sample means can be treated as observations from a _____________
normal distribution
95% of all sample means fall within _______ standard error units of the population mean
1.96 standard error units of the population mean
the 95% confidence interval is expressed as what formula
Xbar +/- 1.96*oxbar
where 1-alpha is the level of confidence
oxbar is also (o/sqrtN)
Zalpha is what
critical valye
Critical value for a 95% confidence interval
1.96
Assumptions for a confidence interval calculated using the standard normal distribution
- Independent observations
- The sample data come from a normal population
- The population standard deviation is known