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Statistical theory

Data Analyzation of Lab 2.1 (Picket Fence Free Fall)

Subject: 
Physics
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Summary statistics
Means
Data analysis
Probability distributions
Statistical theory
Skewness
Kurtosis
Standard deviation
Variance
Median
Mode
Normal distribution

Sheet3 Sheet4 Column Labels Row Labels 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 Gate State (blank) Grand Total 0 (blank) 0.0165 (blank) 0.038879 1.4761970342 9.7819247708 0.051521 (blank) 0.069619 1.7745302221 9.6281720355 0.080271 (blank) 0.095919 2.0314492317 9.9093952291 0.105167 (blank) 0.119209 2.2611747043 9.817996153 0.127646 (blank) 0.140351 2.470616489 9.9948677845 0.148107 (blank) 0.159822 2.6632752884 9.7944393321 0.166958 (blank) 0.177989 (blank) 0.184769 (blank) Time (s) (blank) (blank) (blank) Grand Total Sheet5 Time (s) 0 3.8878999999999997E-2 6.9619E-2 9.5919000000000004E-2 0.119209 0.140351 0.15982199999999999 0.17798900000000001 Distance (m) 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 SUMMARY OUTPUT Regression Statistics

chapter 10

Subject: 
Statistics
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Statistics
Statistical inference
Hypothesis testing
Statistical theory
Psychometrics
Statistical tests
Sampling distribution
Statistical hypothesis testing
sampling
Confidence interval
Sample
Resampling

Chapter 10 Vocabulary Review: The following are some of the vocabulary words that you should know: Standard error Pooled (or combined) sample portion Randomization distribution Two-sample z statistic Two-sample t statistic Pooled estimator Pooled two-sample t statistic Chapter 10 Mathematical Content Review: The following are some of the mathematical pieces you should be able to do: Describe the characteristics of the sampling distribution of . Calculate probabilities using the sampling distribution of . Determine whether the conditions for performing inference are met. Construct and interpret a confidence interval to compare two proportions. Perform a significance test to compare two proportions. Interpret the results of inference procedures in a randomized experiment.

Chapter 1

Subject: 
Chemistry
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Statistics
measurement
Thought
Statistical theory
Ficus
Accuracy and precision
Significant Figures
Uncertainty
systematic error
Trailing zero

Chapter 1.3 (Pages 8-10) SI system- International System of units. Based on/ Derived from metric system. Quantitative Observation- Measurement Consists of a number and a scale (unit) Mass- Measure of resistance of an object to a change in its state of motion Weight- Force gravity exerts on an object Chapter 1.4-1.5 (pages 11-18) Uncertainty- Estimated number in a measurement A measurement always has some degree of uncertainty Assumed to be +/- 1 unless otherwise indicated Precision- the degree of agreement among several measurements of the same quantity (reproducibility) Accuracy- Agreement of a particular value with the true value Errors:

DBA

Subject: 
Chemistry
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Statistics
Arithmetic
Science
Thought
measurement
Numerical analysis
Statistical theory
Accuracy and precision
Critical Thinking
Arithmetic precision
Significant Figures
Attachment theory

DBA for Module 1: What is the definition of science. Science is The study of physical properties and the history of the natural world. What is the difference between precision and accuracy: precision is given by the ability of the instrument to get as close to the true value of the measurement as possible. some measuring instruments are more precise then others. In other words, an instrument that measures to the nearest 100th place is more precise than the one that measures to the nearest 10th place. Accuracy is how accurate your measurement is. How careful one is in reading the measurement correctly. How are significant figures used in calculations?
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