General information you should know: 1. experimental design: a group of subjects who receive various levels of the independent variable 2. dependent variable: variable that is measured to find effect of independent variable 3. factor or independent variable: manipulated in experiment 4. levels: different forms or strengths 5. replication: repeated subjects within a control or experiment group 6. controls: ppl that don’t receive manipulated independent variable 7. paired vs. independent replicates: paired is exposed to all, independent not 8. randomization: use of some random method to assign subjecs to a group 9. Why are statistics necessary for analyzing scientific data? Variation to judge whether differences we observe btwn populations are real or due to chance 10. What does sum of squares tell you about a data set? Measure of variation within a group 11. What is meant by “probability” in the context of a statistical test? Due to chance alone 12. Why is replication / sufficient sample size necessary in an experiment? To account for natural variation in population 13. Basic structure of statistical test: null hypothesis: assumption that two groups are the same 14. test statistic ( t (Ttest), F: ANOVA, etc.): measure of magnitude of variation btwn groups 15. probability (p-value): low= not likely due to chance, 16. statistical significance: probability less than 0.05, reject null 17. Why are measures like standard error used when graphing mean values of a data set? Measure of variation within a group 18. Why use an ANOVA rather than multiple t-tests when…
application of quality control concepts (Wise & Fair, 2001). Most technical manufacturing programs require some level of quality control training including basic coverage of quality management concepts and statistical data analysis, but offer little insight into implementation issues and the practical problems faced by industry (Balbontin & Taner, 2000). This approach can be quite effective in establishing a basic understanding of quality control theory, but may leave gaps in a student’s ability to successfully…
BIO 175 LAB PRACTICAL
Date Due: March 12, 2015 (DE02)
The colony I isolated was small (about 2.0 mm), round, yellow in color, convex, and was shiny. The size of my colony (small) was borderline between small and large. It could be either size, and if it incubated another day it may have grown larger.
When I Gram-stained a sample from my colony and magnified it under 1000x, the cells I observed were rod-like and red. From this I concluded…
either to use T- test or Z- test for this experiment. In this particular case we use Z- test because we know the standard deviation.
Determine the critical value rule for deciding whether to reject H0.
Z- crit = 1.64 (α = 0.05)
Collect the sample data, compute the value of the test statistic, and decide whether to reject H0.
The value of Z-test 2.41 is great than 1.64 of Z-crit. So we do not accept H0. Accept Ha.
However, if using p-value to test hypotheses. It…
Research Results: Statistical Inference (modified on March 18)
The dominant method of inference in psychology is statistical testing (also called hypothesis testing; null hypothesis statistical testing).
This involves stating a pair of competing hypotheses about Reality, collecting relevant data, and using the data to make a choice between the two competing hypotheses. This choice is called a “statistical decision”. Statistical decision-making, which involves the possibility of incorrect decisions…
As defined by Psychology and Your Life and psychologist Robert Sternerg, practical intelligence “relates to the over all success of living.” By having this kind of intelligence, there is an understanding of how to react in any given situation that will shine a good light on the action taker. This kind of intelligence will helps make decision that will be beneficial to oneself in a personal, academic, and career driven manner. Emotional intelligence is defined by Psychology and Your Life “is the set…
ANU - RSFAS
Semester 1, 2015
1 / 20
What is Statistics?
Statistics is the Science of Data
or Data Science
2 / 20
Our Increasingly Quantitative World
The world is becoming quantitative. More and more professions, from the
everyday to the exotic, depend on data and numerical reasoning.
Data are not just numbers, but numbers that carry information about
a specific setting and need to be interpreted in that setting. With this
growth in the use of data comes…
about a population from our sample set of observed values.
MeanThe mean (or average) of a set of data values is the sum of all of the data values divided by the number of data values. That is:
Example 1The marks of seven students in a mathematics test with a maximum possible mark of 20 are given below:
15 13 18 16 14 17 12Find the mean of this set of data values.Solution:So, the mean mark is 15.
Symbolically, we can set out the solution as follows:So, the mean mark…
Statistical Inference Final Project
Aida Mariana Martinez 23530
Jose Eduardo Pedrero 25209
Alberto Loyola 26751
Mexicali, BC. November 26,2014
Table of Contents
General information about the company 4
Justification of the problem 5
Models Used 8
Implementing the models 8
Procedure of the Test Process 8
Registered data 10
Capability Histogram 11
Normal Probability Plot…
Statistical Significance and Effect
Is quarter 2 a fair quarter?
Quarter 1 (above): A fair quarter
Quarter 2 (above): A quarter that may
or may not be fair.
Is quarter 2 a fair quarter?
Quarter 1 (above): A fair quarter.
50% odds of heads or tails.
After 300 tosses of quarter 2, there
were 175 heads and 125 tails.
What is the likelihood of getting the result of heads/tails
found with quarter 2 if it is actually a fair quarter?
Did use of RTL products cause greater