Chemistry lab reports ib

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IB Chemistry Lab Report Format

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Answers to End-of-Chapter Materials. Draft Outline Instructions. Good List of Informative Speech Topics. Sequencing - ibsgsection. Designs a method that makes some attempt to control the insufficient relevant data. Designs a method that does not control the variables.

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Develops a method that does not allow for any relevant data to be collected. Aspect 1: Defining the Problem Only a few experiments in B Chemistry will require you to create your own research problem. Usually the labs you will be asked to do will already have clearly specified research questions and procedures. But when you design your own experiment, the first step is to recognize the nature of the problem before you.

When the Design criterion is assessed, you will be given an open- ended problem or a general aim tooth lab such that your inquiry is guided. You will need to recognize that certain factors will influence the volume of a drop. This is the nature of the problem. You will form a research question that is specific and relevant to your individual experiment. Page 3 Your current understanding Of science theories provides a background for your research question. Relevant theory needs to be presented.

You could discuss surface tension, intermolecular bonds, adhesive and cohesive forces, capillary action, and other physical properties of water.


Your understanding of theory impacts the research question you choose. You might be asked to formulate a hypothesis prediction in light of any independent variables that have been chosen. Such a hypothesis must contain more than just an expected observation. It must also include a proposed relationship between two or more variables, or at least an element tot rational explanation tort an expected observation. The known theory is presented in the beginning of a lab report to substantiate your hypothesis as seasonable. In addition to your research question, theory also relates to your explanation of your hypothesis.

Theory used by a curious mind is the foundation of experimentation. Your hypothesis will relate two variables that might have an effect on each other. Other variables that might affect the outcome are also mentioned, even if they are not to be specifically investigated. Three Types Of Variables in an Experiment 1 The independent variable is the variable you set or determine. Hence this variable stands independently in your experiment. You set this variable. The dependent variable is the variable that responds to the independent variable.

Hence this variable is dependent on the independent variable in your experiment. You try very hard to control all of these variables to be unwavering while you gather data.

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Aspect 2: Controlling the Variables You will then need to design a method that allows you to control these variables. The method should include explicit reference as to how the control of variables is achieved.

The method should be clearly described in sufficient detail so that it could be reproduced by someone else from the information given. It is conventional to write sequential, numbered steps to communicate a procedure. Your designed procedure must guarantee that the independent variable remains independent, the dependent variable remains dependent, and the controlled variables truly remain constant. Be specific in the listing Of required supplies. Materials and equipment needed in the investigation are to be designated by quantity and size i. The experimental set-up and measurement techniques are to be described.

Page 4 Numbered steps in your procedure should be clear and specific to allow for the replication of your experiment by another person. The conscious effort to keep controlled variables constant should be evident in your procedure.

Your procedure also should be appropriate to the level of uncertainty needed. You can allow for the collection of sufficient data by having a large enough range of values for your independent variable and having repeated trials. Specify and justify any assumptions underlying the procedure. Think through potential problems in advance, and demonstrate in your lab report your plan to master these difficulties. The planned investigation should anticipate the collection Of sufficient data so that the aim or research question can be suitably addressed and an evaluation of the reliability of the data can be made.

Example considerations When assessing sufficiency Of data could be the following: The plan includes the duplication of data collected in multiple trials at least arils. D When planning the levels Of the independent variable values, S is the minimum number when practical. L] If a trend line is to be plotted through a scatter graph then at least 5 data points are needed.

D When doing iterations, the plan should show appreciation of the need for a trial run and repeats until consistent results are obtained. Data Collection and Processing Aspect 1 Recording Raw Data Records appropriate quantitative and associated qualitative raw data, including units and uncertainties where relevant.

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Qualitative raw data, but with some mistakes or omissions. Does not record any appropriate quantitative raw data or raw data is incomprehensible. Processes the quantitative raw data correctly, Presents processed data appropriately and, where relevant, includes errors and uncertainties. No processing of quantitative raw data is carried out or major mistakes are made in processing.

Inappropriately or incomprehensibly. Page 5 Aspect I: Record Raw Data Data collection skills are important in accurately recording events and are critical to scientific investigation. Data collection involves all quantitative and qualitative raw data, such as tabulated measurements, written observations, or drawn specimens. Raw data is the actual data measured.

This Will include associated qualitative data.