What is inferential statistics? - answer-Allow us to estimate population characteristics from sample data
Requires that we make certain assumptions about how well the sample represents the larger population
Inferential statistics relies on two concepts - answer-1. probability
2. sampling error...
What is inferential statistics? - answer-Allow us to estimate population
characteristics from sample data
Requires that we make certain assumptions about how well the sample
represents the larger population
Inferential statistics relies on two concepts - answer-1. probability
2. sampling error
What is probability - answer-likelihood that any one event will occur, given all
possible outcomes
represented by p
What is sampling error - answer-tendency for sample values to differ from
actual population values
Sampling error explains these assumptions: - answer-1. random sample (all
members of population have equal chance of occurring in the sample)
2. homogeneity of variance (samples have same amount of variability)
What is CI - answer-Confidence interval
range of scores with specific boundaries or confidence limits that should
contain the population mean
95% CI means that you are 95% confident that the population mean will fall
within a specified interval
Null hypothesis - answer-Ho
Differences between means is due to chance
Compare the p-value to predetermined level of significance to determine
whether null hypothesis is rejected or accepted
Alternative hypothesis - answer-H1
difference between means is not due to chance
Type I Error - answer-reject Ho when it is true
conclude that real differences exist when it actually doesn't
5% chance of type I error, 95% sure you can reject Ho
[Type here]
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