# data[].attributes.body
1. Purpose:

a. to understand and execute correct usage of micropipettes and spectrophotometer

b. to understand the significance of statistical application in relation to the experimental data

2. Techniques/technical applications:

a. application of micropipettes (care and calibration)

b. Creating Trypan Blue standards (dilutions)

c. application of spectrophotometer

3. Statistical application:

a. define accuracy:

- % error

b. define precision:

- standard deviation

- coefficient of variance

c. define correlation:

-linear regression analysis

d. define significance:

- ANOVA (analysis of variance)

- 2-tailed t-test

# data[].attributes.body
1. Purpose

1. Use pipetting and spectrophotometry to construct a standard curve

2. Statistically analyze the curve

2. Techniques

1. Use of micropipette

2. Spectrophotometry

3. Statistics

1. StdDev

2. % error

3. CV

4. ANOVA

5. Student’s T-test

# data[].attributes.body
1. Goal: Test micropipettes by making a standard curve of Trypan Blue light absorbance.

2. Briefly discuss techniques used

1. Trypan Blue Dilutions

2. Micropipetting

3. Spectrophotometer

3. Explain the statistical applications

1. Accuracy

2. Precision

3. Correlation

# data[].attributes.body
1) Practice and understand statistical methods used in the lab: Accuracy (Percent Error), Precision (Standard Deviation), and Correlation (linear regression)

2) Discuss how these techniques and quantitative analysis techniques are important in a lab and scientific research.
3) Purpose: To test the precision and accuracy of micropipettes while practicing the lab technique of micropipetting and spectrophotometry.

# data[].attributes.body
Purpose: determine the relationship between the concentration of a particle and light absorbed

Accuracy/Precision: define, differentiate

Techniques and applications: use of spectrophotometer and calibration, micropipetting

Statistics: SD, percent error, precision and accuracy, coefficient of variant, correlation, t-test

# data[].attributes.body
1. Purpose: determine the correlation between absorbance of light of the amount of trypan blue present
2. Discuss techniques utilized in the lab (i.e. micro pipetting, spectrophotometer)
3. Statistical outcomes (discuss the percent error and the correlation it has with accuracy, discuss standard deviation and error bars and the correlation with precision, discuss the t-test outcome)

# data[].attributes.body
1. Pipettes: Being able to accurately draw precise amounts of solution in a repeatable manner
2. Precision and Accuracy: Describe and define the difference and note when each is useful
3. Spectrophotometry: Being able to use the machine and all related software quantitatively and accurately; as well as a 96 cell plate
4. Excell: knowing and using the standard deviation, coefficient of variance, Beer's law, percent error, T test, ANOVA analyses, etc.

# data[].attributes.body
1. Purpose: To test micropipetting skills by creating a standard curve of Trypan Blue which is representing the experimenter's accuracy and precision

Define accuracy and precision and their individual/cohesive importance (repeatability of experiment)

2. Techniques/Technical Applications

Micropipetting

Spectrophotometer/Plate Reader

3. Statistical Applications

Accuracy - % error

Precision - Standard Deviation and Coefficient of Variance

Correlation - Linear Regression Analysis

Statistical Significance - ANOVA (how this represents the level of importance of data gathered in the experiment)

# data[].attributes.body
1. Define precision and accuracy

2. Understand the definition and uses of standard deviation and coefficient of variance

3. Describe instrumentation and functions of micropipettes

4. Using and understanding the role of spectrophotometer

5. Understand the application of statistical analysis and how to apply the gathered data to the goal of the experiment

# data[].attributes.body
1. Pipetting (Drawing and releasing solution)
2. Dilution Math (knowing what to dilute and when it is necessary.)
3. Spectrophotometry (Knowing how to correctly work the machine and get accurate readings)
4. Excell (Being able to take the recorded data and extrapolate further statistics/make graphs)
5. Standard deviation and correlation. (Know how they relate to the data)
6. Micropipetting calibration (know how to accurately calibrate the pipette)

# data[].attributes.body
1. Purpose: determine the relationship between the concentration of a particle and light absorbed
2. Techniques/technical applications
a. using micropipettes
b. using spectrophotometer
3. Statistical applications
a. accuracy: % error
b. precision: standard deviation and coefficient of variance
c. spectrophotometer: linear regression analysis and ANOVA/Student T test

# data[].attributes.body
1. Discuss precision and accuracy with regards to experiment validity and quantitative analysis (calculations for dilution, standard deviation, %error, coefficients of variance, t-test, and linear regression)
2. Use of spectrophotometry and micropipettes (both calibration and use)

# data[].attributes.body
I. Defining Precision and Accuracy
II. Defining Micro pipetting (when to use it/why it's important
III. Define a spectrophotometer
IV. Using statistics from the data collected to discover accuracy/precision to solidify if the experiment is statistically significant