MEAN - ANSWER average
MEDIAN - ANSWER Middle number
standard deviation - ANSWER · The average dispersion from the mean- how
far apart are the data points from the mean. How spread out your data is within
the curve. The lowest it can be is zero. Low standard deviation (More reliable)
is data sets are not spread out. High is they are.
o 99.7% of the data are within 3 standard deviations of the mean. P+ 3a or P-3a
o 95% within 2 standard deviations P+2a or P- 2a
o 68% within 1 standard deviations p+a or P-a
o Mean (average) = P
standard deviation curve - ANSWER Negative skewed- curve trends to the
right
Positive skewed- curve trends to the left
Normal- mean and median will have the same value- equally distributed
p value - ANSWER Probability value that we would have seen our data - or
something more extreme - by chance if the null hypothesis is true. The
probability of getting your result (or a more extreme result) by chance.
, · Small p-values imply the null value is inconsistent with our data
•The p-value less than alpha is what we expected. Making the null hypothesis
not true- therefore we are rejecting the hypothesis
•If the p value is higher than the alpha we are failing to reject the hypothesis.
Type 1 error - ANSWER - is what happens when we reject a true null
hypothesis- we rejected it and we should have not rejected it. Also known as a
false positive
Five parts of a significance test - ANSWER Assumptions
hypothesis
Test statistics
p Value
conclusion
Hypothesis - ANSWER A testable prediction, often implied by a theory
Null hypothesis - ANSWER a statement that parameter(s) take special
value(s)- usually no effect/ no relationship. *INNOCENT*
Alternative hypothesis - ANSWER states that parameter value falls in some
alternative range of values/ a relationship. *GUILTY*
Test Statistic- ANSWER Compares data to what null hypothesis predicts, often
by finding the number of standard errors between sample point estimate and
null value of parameter.*ALLOWS FOR A COMPARISON*
MEDIAN - ANSWER Middle number
standard deviation - ANSWER · The average dispersion from the mean- how
far apart are the data points from the mean. How spread out your data is within
the curve. The lowest it can be is zero. Low standard deviation (More reliable)
is data sets are not spread out. High is they are.
o 99.7% of the data are within 3 standard deviations of the mean. P+ 3a or P-3a
o 95% within 2 standard deviations P+2a or P- 2a
o 68% within 1 standard deviations p+a or P-a
o Mean (average) = P
standard deviation curve - ANSWER Negative skewed- curve trends to the
right
Positive skewed- curve trends to the left
Normal- mean and median will have the same value- equally distributed
p value - ANSWER Probability value that we would have seen our data - or
something more extreme - by chance if the null hypothesis is true. The
probability of getting your result (or a more extreme result) by chance.
, · Small p-values imply the null value is inconsistent with our data
•The p-value less than alpha is what we expected. Making the null hypothesis
not true- therefore we are rejecting the hypothesis
•If the p value is higher than the alpha we are failing to reject the hypothesis.
Type 1 error - ANSWER - is what happens when we reject a true null
hypothesis- we rejected it and we should have not rejected it. Also known as a
false positive
Five parts of a significance test - ANSWER Assumptions
hypothesis
Test statistics
p Value
conclusion
Hypothesis - ANSWER A testable prediction, often implied by a theory
Null hypothesis - ANSWER a statement that parameter(s) take special
value(s)- usually no effect/ no relationship. *INNOCENT*
Alternative hypothesis - ANSWER states that parameter value falls in some
alternative range of values/ a relationship. *GUILTY*
Test Statistic- ANSWER Compares data to what null hypothesis predicts, often
by finding the number of standard errors between sample point estimate and
null value of parameter.*ALLOWS FOR A COMPARISON*
