Table of contents

1. Intro to General Chemistry3h 48m
2. Atoms & Elements4h 16m
3. Chemical Reactions4h 10m
4. BONUS: Lab Techniques and Procedures1h 38m
5. BONUS: Mathematical Operations and Functions48m
6. Chemical Quantities & Aqueous Reactions3h 53m
7. Gases3h 49m
8. Thermochemistry2h 37m
9. Quantum Mechanics2h 58m
10. Periodic Properties of the Elements3h 9m
11. Bonding & Molecular Structure3h 29m
12. Molecular Shapes & Valence Bond Theory1h 57m
13. Liquids, Solids & Intermolecular Forces2h 23m
14. Solutions3h 1m
15. Chemical Kinetics2h 53m
16. Chemical Equilibrium2h 29m
17. Acid and Base Equilibrium5h 1m
18. Aqueous Equilibrium4h 47m
19. Chemical Thermodynamics1h 50m
20. Electrochemistry2h 42m
21. Nuclear Chemistry2h 36m
22. Organic Chemistry5h 7m
23. Chemistry of the Nonmetals2h 39m
24. Transition Metals and Coordination Compounds3h 16m

4. BONUS: Lab Techniques and Procedures

Experimental Error

General Chemistry

4. BONUS: Lab Techniques and Procedures

Experimental Error

Previous problemNext problem

Struggling with General Chemistry?

Join thousands of students who trust us to help them ace their exams!Watch the first video

Multiple Choice

In an experiment designed to test a hypothesis, how many experimental groups should you ideally have to ensure reliable results?

One experimental group

Two experimental groups

Three experimental groups

Four experimental groups

Previous problemNext problem

Verified step by step guidance

Understand the purpose of having multiple experimental groups: Multiple groups allow for comparison and help ensure that the results are not due to random chance or external factors.

Consider the control group: Typically, one group serves as a control, which does not receive the experimental treatment, while other groups receive varying levels or types of treatment.

Evaluate the hypothesis: Determine if the hypothesis requires testing different variables or conditions, which would necessitate multiple experimental groups.

Assess the reliability of results: More experimental groups can provide a broader range of data, increasing the reliability and validity of the results.

Decide on the number of groups: Ideally, having at least two experimental groups allows for comparison between treated and untreated conditions, but more groups can be beneficial depending on the complexity of the experiment.