This question tests the skill of observing motion patterns to predict future motion (3-PS2-2). Identifying patterns allows prediction because consistent changes in conditions produce consistent changes in motion. The ball shows a clear pattern where distance increases by 100 cm with each higher ramp: 100 cm (low), 200 cm (medium, +100), 300 cm (high, +100). Answer A correctly predicts 400 cm for the next (presumably extra-high) ramp by adding another 100 cm. Answer B suggests 350 cm which only adds 50, C suggests no change from the last value, and D suggests going backwards to 150 cm. To find patterns when conditions change systematically (low→medium→high), calculate the difference between consecutive results - here it's consistently +100 cm per ramp level increase.

This question aligns with the skill 3-PS2-2: Observe motion patterns to predict future motion. By identifying patterns in how objects move, we can predict future behavior because similar conditions often lead to similar results. Here, the pendulum swings 30, 25, 20, and 15 times each minute, revealing a pattern of decreasing by 5 swings per minute. Choice B accurately predicts the next swing as 10 times by continuing the -5 pattern, which matches the consistent subtraction. Choice A incorrectly assumes repetition, while C and D suggest staying the same or increasing, ignoring the decreasing trend. To teach this, organize the swing counts in order and look for what happens each time, such as subtracting 5. Calculate differences between consecutive observations to confirm the pattern, then use it to predict the next value like 15 - 5 = 10.

This question tests the skill of observing motion patterns to predict future motion (3-PS2-2). Students must identify patterns in motion data and use them to predict future motion because consistent patterns continue under similar conditions. The toy car's distances (30, 60, 90, 120 cm) show a pattern of increasing by 30 cm with each stronger push. The correct answer A (150 cm) accurately applies this pattern by adding 30 cm to the last value (120 + 30 = 150). Answer B (130 cm) incorrectly adds only 10 cm, while D (180 cm) adds too much (60 cm), and C (90 cm) goes backward in the sequence. To predict using patterns, identify what happens each time (here, +30 cm) and apply that same change to the last known value. This systematic approach helps students see that motion follows predictable rules.

This question aligns with the skill 3-PS2-2: Observe motion patterns to predict future motion. By identifying patterns in how objects move, students can predict future behavior because similar conditions often lead to similar results. The ball rolls 100 cm, 200 cm, and 300 cm, showing an increase of 100 cm each time. Choice B correctly predicts 400 cm for the next roll, extending the arithmetic sequence accurately. Distractors like A fail by suggesting smaller increments that ignore the established +100 cm trend. To teach this, sequence the distances and compute differences between them. Encourage students to identify 'what happens each time' and apply the pattern to forecast the subsequent distance.

This question tests the skill of observing motion patterns to predict future motion (3-PS2-2). Scientists identify patterns in motion data and use them to predict future motion because similar conditions produce similar results. In this stimulus, the toy car rolls 30 cm, 60 cm, 90 cm, then 120 cm with each stronger push, showing a clear increasing pattern. The correct answer C accurately identifies that the distance increases by 30 cm each time (30→60 is +30, 60→90 is +30, 90→120 is +30). Answer B incorrectly claims there's no pattern when there's a clear mathematical relationship, while D wrongly states the car always moves 60 cm when the distances clearly vary. To find patterns, organize data in order and calculate the difference between consecutive values - here each difference equals +30 cm, allowing prediction of the next value.

This question tests the skill of observing motion patterns to predict future motion (3-PS2-2). Pattern recognition allows us to predict future motion because objects tend to continue following established patterns under similar conditions. The toy car's distances (30, 60, 90, 120 cm) show a consistent pattern of increasing by 30 cm each time. The correct answer A (150 cm) accurately applies this pattern by adding 30 cm to the last value (120 + 30 = 150). Answer B (90 cm) is already in the sequence and doesn't continue the pattern, answer C (240 cm) incorrectly doubles the last value instead of adding 30, and answer D (60 cm) is also already in the sequence. When predicting from patterns, look for what happens each time - here the consistent +30 cm increase tells us the next value must be 150 cm.

This question tests the skill of observing motion patterns to predict future motion (3-PS2-2). When we observe how motion changes under different conditions, we can predict future behavior because physical relationships remain consistent. The marble takes 2 seconds on 1 meter, 4 seconds on 2 meters, and 6 seconds on 3 meters of track, showing that time increases by 2 seconds for each additional meter (2s per meter). Answer C correctly identifies this pattern where time increases by 2 seconds for each 1 meter more track, establishing a direct proportional relationship between distance and time. The other options fail because A claims time stays constant (contradicting the data), B suggests time decreases (opposite of what happens), and D suggests halving (not matching the linear pattern). To help students see this relationship, have them create a table with track length and time, then calculate the time per meter (2s/1m=2, 4s/2m=2, 6s/3m=2). This constant rate reveals the predictable pattern.

This question tests the skill of observing motion patterns to predict future motion (3-PS2-2). Students learn to identify patterns in motion data and use them to predict what will happen next because similar conditions produce similar results. The ball's bounce heights (100 cm, 50 cm, 25 cm) demonstrate a halving pattern where each bounce reaches half the height of the previous one. Answer A correctly identifies this pattern by stating the bounce height cuts in half each bounce, which students can verify by calculating ratios (50÷100=0.5, 25÷50=0.5). Answer B incorrectly suggests an additive pattern, C wrongly claims constant height, and D dismisses valid data based on size rather than recognizing the mathematical relationship. To help students recognize multiplicative patterns, have them calculate what fraction each bounce is of the previous one. When they consistently find 1/2 or 0.5, they understand the "divide by 2" rule that governs this bouncing ball's energy loss pattern.

This question tests the skill of observing motion patterns to predict future motion (3-PS2-2). Students use patterns to predict future motion, understanding that consistent conditions produce similar but not identical results. The wind-up car's distances (50, 48, 52, 49, 51 cm) show a pattern of clustering around 50 cm with small variations. The correct answer A accurately states students can predict about 50 cm because values consistently stay near this distance, acknowledging normal variation. Answer B incorrectly predicts an exact 100 cm, which is far outside the observed range, while C wrongly insists on exactly 52 cm every time when values clearly vary. To make predictions with variable data, identify the typical range (here, 48-52 cm) and center value (about 50 cm). This teaches students that predictions can be approximate ranges rather than exact values, reflecting real-world measurement variation.

This question tests the skill of observing motion patterns to predict future motion (3-PS2-2). Recognizing patterns in bouncing motion helps us understand energy loss because consistent changes reveal predictable behavior. The ball's bounce heights (100, 50, 25 cm) show each bounce is exactly half the previous height, demonstrating a clear halving pattern. The correct answer C accurately identifies that bounce height cuts in half each time, which reflects how bouncing balls lose energy predictably. Answer A incorrectly reverses the pattern suggesting heights double, answer B wrongly claims heights stay constant at 50 cm, and answer D fails to recognize the mathematical pattern of halving. To find patterns in motion data, look for mathematical relationships - here each value is 50% of the previous one, showing consistent energy loss with each bounce.