This document discusses various statistical concepts used for data analysis and interpretation, including measures of central tendency (mean, median, mode), ranking and percentages, standard deviation, hypothesis testing, and correlation. It provides examples and explanations of how to calculate and interpret these measures, such as how standard deviation indicates data spread and how hypothesis testing involves defining a null hypothesis, significance level, p-value, and determining whether to accept or reject the null hypothesis based on the p-value.
9. =
Level of significance or value
Measures
of
Central
Mean,
Median,
Mode
Ranking
&
Percentage
Standard
Deviation
Hypothesis
Testing
.05 or 95% confidence level for Social
Sciences
.001 or 99.99% for medicine.
∝
Correlatio
n
11. P-Value can be seen if you compute
Steps in Hypothesis
Testing
Measures
of
Central
Mean,
Median,
Mode
Ranking
&
Percentage
Standard
Deviation
Hypothesis
Testing
Correlatio
n
12. If you use table:
Steps in Hypothesis
Testing
Measures
of
Central
Mean,
Median,
Mode
Ranking
&
Percentage
Standard
Deviation
Hypothesis
Testing
NOTE: If the computed value is bigger then it is
significant.
Correlatio
n
13. When using p-value
Steps in Hypothesis
Testing
Measures
of
Central
Mean,
Median,
Mode
Ranking
&
Percentage
Standard
Deviation
Hypothesis
Testing
NOTE: If p-value is lesser than .05 then it is
significant.
𝜌 = .000154
𝜌 = .23
𝜌 = .084
𝜌 = .00215
𝜌 = .0103
𝜌 = .0613
𝜌 = .48
8% that the data is random
92% that the data is significant
n.s
Correlatio
n
14. about
history
timeline
teams
Is there a significant relationship?
Hypothesis
Testing
Correlatio
n
Correlation
Pearson-Product Moment Correlation
The range of the correlation is -1 to 1.
Dots tells the direction of the correlation.
UP +
DOWN -
How do the performance of male learners vary
compared to the female contingents?
Is there an association between x & y variables?