IB Internal Assessment (Lab) Scoring

IB Internal Assessment

ANALYSIS (AN)Collect and organize your raw dataProcess your raw data appropriately and correctlyIf your exploration method did not include sufficient raw data, you cannot earn full marks in this section either. Present your processed data completely and appropriately

ANALYSIS (AN): cont.Include 1 sample calculation for each type of calculation

Examine processed data and discuss the range of data

Interpret processed data correctlyWhat does the data say? Do NOT explain why at this point; that is part of the Conclusion.

What is raw data?Quantitative & Qualitative data that you directly collect during the lab (BEFORE any math is done)MassVolumeTemperatureLength/HeightObservations (qualitative)

The data you collect (or a probe collects) while standing at the lab bench is raw data.

What needs to be included whenrecording raw data?Completely titled Data TableColumns & rows correctly and completely labeledObservationsLevel of equipment uncertaintyLevel of precision in recorded data remains constant (same number of decimal places)

Title of Data Table; must beNumbered Table 1: -------Descriptive: includes both DV & IDV as well as detailTable 1: Initial & Final Mass of a Dialysis Tube Containing Five Different Concentrations of Sucrose Solution When Immersed for 20 Minutes

Columns & rows completely labeled; must haveComplete label for column (or row)Correct Concentration of Sucrose SolutionIncorrect ConcentrationIncorrect Concentration of SolutionIncorrect Solution ConcentrationIncorrect Molarity of Sucrose Solution

Units!!(M) for MolarityAlways use metric system (no pounds or inches)

If Data table goes onto a 2nd page, you must include complete column headings again

Concentration of Sucrose Solution (M)Initial Mass (+/- 0.01g)Final mass (+/- 0.01g)00.2Concentration of Sucrose Solution (M)Initial Mass (+/- 0.01g)Final mass (+/- 0.01g)0.40.60.81.0Page 1Page 2

Highlight the top row of the table and then click on repeat header rows under Table Tools; Layout

If your data table geos onto another page, it will repeat the header row even if you re-format your lab. Concentration of Sucrose Solution (M)Initial Mass (+/- 0.01g)Final mass (+/- 0.01g)

00.20.40.60.81.0NOTICE!! The units are ONLY at the top next to the label. Units do NOT go next to the data (#) being recorded.Observations; must beDetailed If recording data over time (ex: each day for a week), then you will have specific observations every dayImportant for your conclusion! (for example, may find source of error)If you state an error like this in the conclusion, it must be in observations.

DescriptiveBe specific as to what you see but do not draw conclusions hereEx: some are yellow vs. 4 are yellowEx: the plant looks unhealthy vs. the leaves on the corn stalk have yellow spots on them

Concentration of Sucrose Solution (M)Initial Mass (+/- 0.01g)Final mass (+/- 0.01g)Observations0Not sticky; bag has resistance; water dripping from string0.2Etc.0.4Etc.0.6Etc.0.8Etc.1.0Very sticky; bag looks more wrinklyDateNumbers of Days PassedHeight of Plant (+/- 0.1cm)Observations9/6/1201.33 leaves (all green); stem straight9/7/1211.43 leaves (2 all green & 1 has a small brown spot); stem straight9/8/1221.43 leaves (2 all green & 1 has a small brown spot); stem straight; 2 small gnats flying around9/9/1231.6A 4th leaf has sprouted; gnats not visible today9/10/1241.74th leaf green and the 1 brown spot is bigger today (2 mm diameter)9/13/1272.12nd stem beginning to branch out; leaves are the sameExample 1Example 2Equipment uncertaintyIB Bio is different for error than IB Chemistry (yea!)

IB Bio only requires that you look at the equipment you are using when collecting data; list the uncertainty for that equipment only (degree of precision is the smallest division on the instrument)Ex for a scale: if the scale measures to the hundredths place, the equip. uncertainty is +/- 0.01g (can be found on bottom of scale)0.005g error for scale + 0.005g error when massing an object = .01g

Ex for ruler: If measuring in centimeters +/- 0.1cm

Do NOT list for anything the teacher provides (example- if I make a solution for you, do not include uncertainty of graduated cylinder I used)

List that information in the column headings of your raw data table

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56 mL (+/- 0.5mL)*you can estimate to 0.5mL#.#g (+/- 0.1g)0.05g error for scale + 0.05g error when massing an object = .1g#.##g (+/- 0.01g)

reading the smallest division on the measuring instrumentRULER:LIVING THINGS: If youre counting the number of organisms (# bacterial colonies, # of trees in an area), then you will not have uncertainty because youre using your eyes, not equipment.DateNumbers of Days PassedHeight of Plant (+/- 0.1cm)Observations9/6/1201.33 leaves (all green); stem straight9/7/1211.43 leaves (2 all green & 1 has a small brown spot); stem straight9/8/1221.43 leaves (2 all green & 1 has a small brown spot); stem straight; 2 small gnats flying around9/9/1231.6A 4th leaf has sprouted; gnats not visible today9/10/1241.74th leaf green and the 1 brown spot is bigger today (2 mm diameter)9/13/1272.12nd stem beginning to branch out; leaves are the sameTable 1: Height of Wisconsin Fast Plant When Exposed to Blue Wavelengths of Light over 7 Days #d and descriptive TitleObservations- detailedComplete column label with unitsHeight of Plant (+/- 0.1cm)DateNumbers of Days PassedBlue LightGreen LightRed LightYellow LightWhite LightObservations9/6/1201.31.0#.##.##.#B: 3 leaves (all green); stem straightG: ------R: ------Y:-----W:-----9/7/1211.4#.#

#.##.##.#B: 3 leaves (2 all green & 1 has a small brown spot); stem straightG: ------R: ------Y:-----W:-----9/8/1221.4#.#

#.##.##.#B: 3 leaves (2 all green & 1 has a small brown spot); stem straight; 2 small gnats flying aroundG: ------R: ------Y:-----W:-----9/9/1231.6#.#

#.##.##.#B: A 4th leaf has sprouted; gnats not visible todayG: Etc9/10/1241.7#.#

#.##.##.#B: 4th leaf green and the 1 brown spot is bigger today (2 mm diameter)G: Etc9/13/1272.1#.#

#.##.##.#B: 2nd stem beginning to branch out; leaves are the sameG: EtcTable 1: Trial #1- Height of Wisconsin Fast Plants When Exposed to Five Different Light Wavelengths over 7 Days NOTE: how to label data when have 2 titles for a column(height & color)NOTE: data is all showing same # of decimal places(1.0 not 1)NOTE: observations for all colors each dayPractice scoring this table:

Mini-checklist: What is missing?Title of Data TableColumns & rows completely labeledObservationsLevel of equipment uncertaintyLevel of precision (decimal places)What is processed data?This is the final data that you will use in order to answer your original research question.If your question is looking to compare a rate, such as a growth rate:Raw data: height (cm) for each unit of time (day)Processed data amount of growth in cm per day (cm/day)You will use math (or a computer will use math) in order to convert your raw data into processed data.An average is NOT considered enough to be counted as data processing (even though you will need to average trials before continuing into processing)

In order to process your data:You need to consider what data you have & what you want the data to look like in order to answer your question.

If you are doing the math, you must show 1 example of each type of calculation Should come between raw data and your presentation of your processed data (the table showing what you calculated)Keep in mind youre telling a story: 1) I collected data; 2) then I did this math; 3) which resulted in this final processed data

You must use all of your data points while processing. You dont get to choose which data you like vs. what doesnt fit what you want it to say.

Which processing is the weakest?Background Raw data includes height of plant every school day totaling 10 data points over 12 days (plant still grows over the weekend)

trying to calculate rate of growth (cm/day)(final height initial height) /12 days

Graph raw data & take slope of the line

Calculate rate of growth between each recorded data point & then calculate the average of these

Time (days)Height of Fast plant (cm)Why is this the weakest?Examples of scoring:Background Raw data includes height of plant every school day totaling 10 data points over 12 days (plant still grows over the weekend)

Didnt take weekends into account;Slope (growth rate)= 0.21cm/dayThis is a major mistake in processing!Took weekends into account;Slope (growth rate)= 0.16cm/dayPresentation= Table & GraphWhen presenting your processed data in a table, it can be a new table or an extra column in an existing table.

Just like all tables, it needs to have a complete title, column headings, degree of precision (# decimal places), etc.

Also need to take into account SIG FIGS Dont show your processed data to be more precise than the equipment you used to collect the dataGraphs are also numbered & have the same title as your tableBe sure you have the right type of graphWhen labeling bar graphs (Excel calls them column graphs), take note of how to label the x-axis:Complete label & unit below; ONLY numbers on x-axis line

C should not be part of axis; it should only be underneath next to temperatureWhat are the error bars based on?-standard deviation!-This is why you need at least 5 trials for each level of IDVAnalysis Scoring Practice: What is missing in this Raw Data Table?

Where are the observations??Temp listed under maggot #Should have table #!26

Processing Data Scoring Practice: What do you see?What if this student had only calculated an average?An average is NOT sufficient math to be considered processing! Therefore, there isnt any processing.27

Presentation Scoring Practice: What do you see?Processed data should ALSO be in a table!Units do not go on x-axis! They go with the label*Table # as part of title*Equipment uncertainty*Units should only be at top of column*Missing the example/ sample calculationInterpreting your Data:NOT the Evaluation/ Conclusion!What trends or patterns are visible in the data?Ex: positive correlation

Are there any results or groups of results that do not fit the overall trend or pattern?Can anomalous results be explained by mistakes or are you unsure about the overall trend or pattern?

How much do the trials vary?This indicates how reliable the evidence is.

Is there a statistical test you could do?

Link- Click me!Bozeman Science: Standard deviationhttps://paul-andersen.squarespace.com/standard-deviation

Bozeman Science: Standard errorhttps://paul-andersen.squarespace.com/standard-error

Bozeman Science: Statistics for sciencehttps://paul-andersen.squarespace.com/statistics-for-science