Wk7 CER: Kinesiology data analysis

E1: what angle and force can show

ROM describes the extent of joint movement in degrees. Force is a different quantity. A force graph alone does not measure ROM. Identify what your actual column measures before giving it a label.

Fatigue concerns reduced ability to produce force or power in a task. A falling angle may be compatible with fatigue, but angle alone does not establish its cause. Technique, effort, positioning or measurement differences remain possible explanations unless the study addresses them.

A published experiment by Cheng, Davidson and Rice studied repeated ankle movements in twelve young men. It measured ROM alongside other muscle and movement measures. ROM recovered rapidly after the task while reduced torque persisted. ROM and torque therefore did not recover together in this specific experiment.

This primary study supports distinguishing movement range from force-related performance. It does not identify a cause or onset in your classroom table. It is not a protocol for repeating that experiment.

E2: actual March 1 input and recovery route

Open the actual table from Monday, March 1, 2027. Keep its trial order, measure name, units and any teacher-approved task notes. Do not infer that the lab was completed.

If the table or meaning of its column is missing, ask your teacher for the actual record or assigned data packet. Do not invent a sensor reading or unit. Use D1 as clearly labeled analysis practice while you request the class records.

Use one identified dataset for both graph and CER. If using D1, write “D1 instructional dataset” in the title and claim. It is not your class result or proof that the actual lab was completed.

For a force-only record, describe force in its recorded unit. State that ROM change cannot be determined without angle data. A raw sensor signal must not be relabeled force without its supplied conversion.

D1: instructional ROM dataset

Original invented teaching data, not observations of any student or patient. These values represent a hypothetical series of ROM readings. No person performed these trials. No exercise, sensor protocol, joint identity, timing, measurement precision or fatigue-onset event is supplied.

Table D1 columns: trial number (count) and ROM (degrees). Trial 1: 72; trial 2: 74; trial 3: 73; trial 4: 71; trial 5: 72; trial 6: 69.

Trial 7: 68; trial 8: 70; trial 9: 67; trial 10: 66; trial 11: 68; trial 12: 65.

Retain every value. Describe the pattern you graph, not a required smooth decline. D1 supplies graph practice but no evidence that fatigue occurred in a person.

E3: graph and evidence rules

Put trial number on the horizontal x-axis and the recorded measure on the vertical y-axis. Label both axes, including degrees for ROM or the actual supplied force unit. Add a descriptive title and dataset identity.

For D1, use x-axis ticks 1 through 12 at equal spacing. Use a y-axis from 0 to 80 degrees, with equal 10-degree intervals. Place intermediate values proportionally between ticks.

Plot one point for each trial. Connect consecutive points with straight segments to show the sequence. Do not smooth away a rise, omit an inconvenient value or add unsupplied points. If a real record has a missing trial, show the gap.

For actual data, choose equal axis intervals covering all supplied values and state any nonzero axis start clearly. A graph needs enough room to read each point and label. Check every point against its table.

Describe the overall pattern and one exception. Cite at least two trial numbers, values and units. A local drop begins between plotted observations; it is not automatically the biological onset of fatigue.

R1: CER and recovery check

Claim what the graph supports, then address fatigue as an interpretation with a limit. Evidence gives exact trial values. Reasoning uses E1 to explain why that pattern can be discussed without claiming a proven cause.

For D1, use language such as “The instructional values show…” rather than “My muscles became fatigued.” For actual data, distinguish recorded values from your explanation. A flat or rising series is valid evidence too.

Absent or stuck: graph D1 and write one practice sentence citing two trial values and units. Label that response recovery practice. Develop it into the same CER by adding a claim, source-linked reasoning and a limit.

Self-check: “Fatigue lowered ROM because muscles get tired” repeats an idea without table evidence. Replace the evidence with two values from your selected table, then separate the observed pattern from its possible cause.

Optional extension: change per trial and a real-task limit

Choose two trials on your selected graph. Average change per trial = (later value minus earlier value) / (later trial number minus earlier trial number). Show the substituted values and retain the sign.

For ROM, the unit is degrees per trial. For force, use its recorded unit per trial. This is an average over your chosen interval, not a physiological fatigue rate. Trials are not seconds unless actual timing is supplied.

Consider a warehouse worker’s repeated lift as a transfer question. Explain why a smaller movement range could matter if the job required a particular reach. This packet supplies no required reach, load or safe-work threshold.

State what additional task and protocol evidence you would need. Do not infer injury risk, work fitness or a safe limit from a classroom slope.

Official analysis and weekly evidence remain separate

The original 20–40-minute block requires the teacher-assigned myPLTW kinesiology analysis prompts. The expected activity is Project 1.2.6 Restoring ROM; ask the teacher to confirm the activity number. Ask for the exact assigned segment and prompts.

If available, complete the assigned analysis before writing the CER. If the official task is unavailable, use that block to check the practice graph, units and evidence limits, and ask for the analysis directions. This practice does not answer unseen licensed prompts.

Keep the actual graph and CER in one document. The teacher-posted data/model packet and weekly evidence requirements remain separate. Request missing packets and use evidence from official or prior lab work only after doing that work.

Today is Tuesday, March 2. Your data come from Monday, March 1; the weekly evidence date is Friday, March 5.

Read the table before graphing

Identify your dataset, measure and unit. Answer both warmups: what can a graph reveal beyond a column of numbers, and how is evidence different from repeating a claim?

Use actual March 1 data when available, or label D1 as instructional recovery. No new human measurements.

Labeled motion graph

Graph the selected measure versus trial number using E3. Add title, dataset identity, axes, units, equal intervals and every supplied point. Check points against the table.

Use a full graph page. Keep actual force separate from angle. D1 uses twelve points and ROM in degrees.

Trend and onset limit

Describe the overall trend and one local change or exception. Cite two trial values. Explain whether your evidence identifies fatigue onset or only a change in the plotted measure.

For D1, no fatigue event is supplied. For actual data, use recorded task evidence and state what remains uncertain.

Graph and CER, one document

Write a CER about the selected motion pattern and what it can or cannot support about fatigue. Cite trial numbers, values and units; use E1 and state a causal or onset limit.

Recovery starts with a two-value evidence sentence, then adds claim and reasoning. A force-only record does not establish ROM change.

Check the graph and assigned task

Check every plotted point and both axis labels. Revise unsupported causal language. Keep the graph and CER together. Include evidence from the assigned online analysis only after doing that task; ask for any missing instructions.

The practice decision adds no second submission. Never mark unavailable licensed prompts or a missing lab complete.