How do you analyze the data?Image may be NSFW.
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S.ChS.1 Science Inquiry: Questions and Design - The learner will evaluate the importance of curiosity, honesty, openness, and skepticism in science.
1. Due - Discussion of results - bring hardcopy and turnitin.com
2. March Mentor Check - 3/29 - A and 3/30 - B
a. Terms list with at list 20 terms
b. Mentor Meeting -
i. Set Meeting
ii. Data Collection - Data Tables, Graphs, Analysis - Mentor Sign off
iii. Mentor Notes - 1 full page of notes
iv. Mentor Signature on Orange Goal Sheet
v. Orange Sheet - Completed goals for the month - detailed information
vi. Email Printout from setting up Mentor Meeting
Download ASR Research Goals Sheet
c. Minimum of 8 entries for work on your project. Does not include mentor meeting
3. International Data - Find international data for your study. Compare international data with your data
Example Papers
Download Rebecca Cantrell - Final Paper- The Effect of Giftedness in Adolescents on Mental Health
Download Chiara Mancuso - ASR Complete Final Paper (2)
Download Kat Shanbaugh - Final Paper
5. t-Test, ANOVA, and Chi-Square
a. t-Test - for quantitative data; can be used to determine if observed differences between means of two groups are statistically significant.
b. ANOVA - for quantitative data; used instead of the t-Test when you are comparing three or more groups.
c. Chi-Square - for qualitative data; can be used to determine if differences between frequency distributions are statistically significant.
6. Statistical Analysis - below are two websites to analyze your project data
7. Data Analysis - Chapter 11 - Statistical Techniques for Analyzing Quantitative Data
Extremely significant? | Image may be NSFW. Clik here to view.  | Image may be NSFW. Clik here to view.  | Image may be NSFW. Clik here to view.  | Image may be NSFW. Clik here to view.  | Image may be NSFW. Clik here to view.  |
Once you have set a threshold significance level (usually 0.05), every result leads to a conclusion of either "statistically significant" or not "statistically significant". Some statisticians feel very strongly that the only acceptable conclusion is significant or 'not significant', and oppose use of adjectives or asterisks to describe values levels of statistical significance.
Many scientists are not so rigid, and so prefer to use adjectives such as “very significant” or “extremely significant”. Prism uses this approach as shown in the table. These definitions are not entirely standard. If you report the results in this way, you should define the symbols in your figure legend.
Here is the scheme that Prism uses:
P value | Wording | Summary |
< 0.0001 | Extremely significant | **** |
0.0001 to 0.001 | Extremely significant | *** |
0.001 to 0.01 | Very significant | ** |
0.01 to 0.05 | Significant | * |
≥ 0.05 | Not significant | ns |
Prism stores the P values in double precision (about 12 digits of precision), and uses that value (not the value you see displayed) when it decides how many asterisks to show. So if the P value equals 0.05000001, Prism will display "0.0500" and label that comparison as "ns".
9. HW - International Data - hardcopy and turnitin.com - data tables, graphs and discussion
10. HW - Determine which Statistical Test to use for your research