Vocab
Test results of a sample
Statistic
There is only a positive or negative
binomial
at 95% confidence there is a 95% probability that the true mean value is _____ the interval given
between
Makes a test to test the effectiveness of fertilizer in different soil conditions and uses 3 samples with three different plants with varying soil conditions
No comparison
Testing to see if the frequencies on a table fit the stated variation
Chi-squared goodness of fit
Test the entire population
Census
There is a even distribution across the sample
uniform
The ____ mean is the real mean of the population
true
While using the Chi-squared test there was an expected value of 3.46
Too small
Testing to see if the true proportion is statistically significant from a singular sample
Data where the variation is symetrical where there is 68% of the data within 1 z-score, 95% within 2 z-scores, and 99.7% within 3 z-scores
Normal Distrobution
there is high frequency at the extremes and low in the center
Bimodal
Observed value - ________ value = Residual
Expected
There is only 3 points of data for the T-test of a population of 1000
Sample is not large enough
Testing to see if the frequencies of two tables have a statistically significant variance from each other
Chi-squared test for independence
Dividing the data into classes and randomly selecting from those classes
Stratified Random Sample
There is an even shape from the center in both directions
symetrical
HO = ____ ________
HA= _______ _________
Null hypothesis
Alternate Hypothesis
Of the population of 10000 there is a sample of 5000
It is too large
Testing to find the true mean with a 95% confidence from a single sample
Single mean t-interval
Shape of a normal distribution
Bell Curve
Shape in a normal distribution
bell curve
Parameters, Hypothesis, Assumptions, Name, __ ______, Obtain P-value, Make a decision, State Conclusion
T statistic
The sample was taken by selecting the first 50 people that the experimenter saw to act as the sample in a population of 550
There is no random selection
Testing to see if two sample means are statically significant from each other
Two variable T-test for the difference of means