Investigation Procedure Scoring Guide - DAVENPORT ... · Web viewLab Report Part Identifying...

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Lab Report Procedures Collected information you can count on. CTE – Agriculture Colfax High School 2012-2013

Transcript of Investigation Procedure Scoring Guide - DAVENPORT ... · Web viewLab Report Part Identifying...

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Lab Report ProceduresCollected information you can count on.

CTE – AgricultureColfax High School

2012-2013

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Investigation Procedure Scoring Guide

Lab Report Part Identifying Symbol Description of Attribute Point

Hypo

thes

is Prediction PThe prediction portion of the hypothesis must answer the given question including the effect of the manipulated variable on the responding variable.

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Prediction Reason PR

A hypothesis must give a cause-effect reason for the prediction.Note: This point cannot be awarded without an attempt at a prediction.

1

Mat

eria

l

Materials M

A list of the minimum materials needed to perform the procedure Notes: Standard Classroom Materials do not need to be listed: paper, pencil, and safety equipment

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Proc

edur

e

Controlled Variables CV1 & CV2 At least two controlled variables are identified in the

procedure or the materials list. 1 - 2

Manipulated Variable MV

Only one manipulated variable is identified or implied in the procedure or data table (if given). The manipulated variable must have at least three conditions to be credited.

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Responding Variable RV The responding variable is identified in the procedure

or data table (if given). 1

Record Measurements RM

The procedure states measurements are recorded periodically or a data table is given. Note: The phrase ‘take measurement’ cannot be used to mean record.

1

Trials are Repeated TR

More than one trial for all conditions is planned, or implied in a data table, to measure the responding variable.

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Consistency COThe procedure includes a consistency not included in the scenario investigation (e.g. more controlled variables, better measuring technique).

1

Logical Steps LS

The steps of the procedure are detailed enough to repeat the procedure effectively (examples of illogical steps: no ending time indicated; states Set up as diagrammed, but diagram is inadequate; recording vague data or results).0 – 1 = experiment cannot be duplicated2 – 3 = some steps of the experiment could not be copied4 – 5 = experiment could be duplicated6 = Very clear and easily duplicated.

0-6

Conc

lusio

n Hypothesis H State whether the hypothesis was correct or not. 1

Data HD & LD Properly use high responding variable data and low responding variable data in conclusion. 1 - 2

Connection C Identify connection, or lack thereof, between MV and RV. 1

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Total Points Possible 20

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Lab Report FormatThis will be the form that you will use to make all of your lab write-up. These are to be

formal, clear and concise, please avoid pronouns (I, me, we, our, us, they, you, their, etc.) as well as contractions (aren’t, can’t, doesn’t, won’t, they’re). Once you have typed your lab do the following:

1. Print a rough draft of the lab report and label as such.2. In red pencil or pen write the Identifying Symbols next to the part in your lab report.3. Have someone edit the lab report (They must make at least 5 changes/suggestions)4. Make the corrections/suggestions to the rough draft.5. Print a final copy6. In red pencil or pen write the Identifying Symbols (again) next to the part in your lab

report.7. Turn in the ½ page blank Score Card (on top), then Final copy (in middle) and Rough Draft

with edits (on bottom) all stapled together.8. Missing any of the above components will be considered an incomplete Lab Report and

will not be accepted and returned.

Date of Lab Your Name

Relevant Lab Report TitleQuestion:

Type you Question here…

Hypothesis:

Type your Hypothesis here…

Materials:

List your Materials here…

Procedure:

Write the complete procedure here in a numbered format1. Step 12. Step 23. Step 3

Students are encouraged to create and include table, graphs, and observations

Conclusion:

Type your conclusion here after completing the investigation.

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August 5, 2011 Brian Long

Super Grow FertilizerQuestion:

How will Super Grow affect the germination of pea seeds and the growth of pea plants?

Hypothesis:If Super Grow in used on pea plants, then more pea seeds will germinate and the pea plants will grow faster with Super Grow, because the seeds and plants will have extra mineral nutrients. Materials:

two containers with grow poles labeled #1 and #2 pea seeds, all the same type soil mix Super Grow fertilizer thermometer water

Procedure:1. Put equal amounts of soil mix in containers #1 and #2. 2. Add Super Grow fertilizer to the soil mix in container #2 in a concentration recommended by the

manufacturer. 3. Plant 15 pea seeds in each container. 4. Water each container equally every day. 5. Be sure each container gets the same amount of light and stays at a temperature of 20°C. 6. Record the number of pea seeds that germinate. 7. Record the time (number of days) for the pea plants to mature.

Pea Seed and Pea Plant Data

Containers Pea Seeds

that Germinated (number)

Time for Pea Plants to Mature

(days) #1: soil only 14 70 #2: soil with Super Grow 13 45

Conclusion:

Super Grow decreases the time the pea plant will mature by quite a bit. In container #1 the pea took 70 days to mature, but in container #2 it only took 45 days to mature. Only 2 seeds did not germinate because of experimental error in container #2 1 seed did not germinate in container #1 because of the same reasons. Therefore super grow decreased the time taken to mature and did not affect the germination of the seeds.

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Staple all three papers in this order with all the markings and turn them in to box.

Scorecard – 1st

Final Copy – 2nd

Rough – 3rd

Part Point

Prediction 1

Prediction Reason 1

Materials 1

Controlled Variables 1 - 2

Manipulated Variable 1

Responding Variable 1

Record Measurements 1

Trials Repeated 1

Consistency 1

Logical Steps 0-6

Hypothesis 1

Data 1 - 2

Connection 1

20

Part Point

Prediction 1

Prediction Reason 1

Materials 1

Controlled Variables 1 - 2

Manipulated Variable 1

Responding Variable 1

Record Measurements 1

Trials Repeated 1

Consistency 1

Logical Steps 0-6

Hypothesis 1

Data 1 - 2

Connection 1

20Part Point

Prediction 1

Prediction Reason 1

Materials 1

Controlled Variables 1 - 2

Manipulated Variable 1

Responding Variable 1

Record Measurements 1

Trials Repeated 1

Consistency 1

Logical Steps 0-6

Hypothesis 1

Data 1 - 2

Connection 1

20

Part Point

Prediction 1

Prediction Reason 1

Materials 1

Controlled Variables 1 - 2

Manipulated Variable 1

Responding Variable 1

Record Measurements 1

Trials Repeated 1

Consistency 1

Logical Steps 0-6

Hypothesis 1

Data 1 - 2

Connection 1

20

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Part Point

Prediction 1

Prediction Reason 1

Materials 1

Controlled Variables 1 - 2

Manipulated Variable 1

Responding Variable 1

Record Measurements 1

Trials Repeated 1

Consistency 1

Logical Steps 0-6

Hypothesis 1

Data 1 - 2

Connection 1

20

Part Point

Prediction 1

Prediction Reason 1

Materials 1

Controlled Variables 1 - 2

Manipulated Variable 1

Responding Variable 1

Record Measurements 1

Trials Repeated 1

Consistency 1

Logical Steps 0-6

Hypothesis 1

Data 1 - 2

Connection 1

20

Part Point

Prediction 1

Prediction Reason 1

Materials 1

Controlled Variables 1 - 2

Manipulated Variable 1

Responding Variable 1

Record Measurements 1

Trials Repeated 1

Consistency 1

Logical Steps 0-6

Hypothesis 1

Data 1 - 2

Connection 1

20

Part Point

Prediction 1

Prediction Reason 1

Materials 1

Controlled Variables 1 - 2

Manipulated Variable 1

Responding Variable 1

Record Measurements 1

Trials Repeated 1

Consistency 1

Logical Steps 0-6

Hypothesis 1

Data 1 - 2

Connection 1

20

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Part Point

Prediction 1

Prediction Reason 1

Materials 1

Controlled Variables 1 - 2

Manipulated Variable 1

Responding Variable 1

Record Measurements 1

Trials Repeated 1

Consistency 1

Logical Steps 0-6

Hypothesis 1

Data 1 - 2

Connection 1

20

Part Point

Prediction 1

Prediction Reason 1

Materials 1

Controlled Variables 1 - 2

Manipulated Variable 1

Responding Variable 1

Record Measurements 1

Trials Repeated 1

Consistency 1

Logical Steps 0-6

Hypothesis 1

Data 1 - 2

Connection 1

20

Part Point

Prediction 1

Prediction Reason 1

Materials 1

Controlled Variables 1 - 2

Manipulated Variable 1

Responding Variable 1

Record Measurements 1

Trials Repeated 1

Consistency 1

Logical Steps 0-6

Hypothesis 1

Data 1 - 2

Connection 1

20

Part Point

Prediction 1

Prediction Reason 1

Materials 1

Controlled Variables 1 - 2

Manipulated Variable 1

Responding Variable 1

Record Measurements 1

Trials Repeated 1

Consistency 1

Logical Steps 0-6

Hypothesis 1

Data 1 - 2

Connection 1

20

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