lets practice! mrs buck notices that the california poppies in her garden grow either short and squat or long and leggy. curious, she tries to figure out why the difference in growth. she notices that the tall ones are in a shady region of the garden and the short ones are in the sun. to see if the amount of sunlight is what is actually affecting the growth, she wants to conduct an experiment. in this experiment, try to identify the: 1. hypothesis: the amount of sunlight california poppies get determines how they grow. 2. null hypothesis: 3. independent variable: 4. dependent variable: 5. control group: collecting data replication: sample size (n): accuracy: precision: uncertainty:

Question

Accepted Answer

### 1. Hypothesis
# Brief Explanations:
A hypothesis is a testable prediction. Here, we predict the relationship between sunlight and poppy growth.
# Answer:
The amount of sunlight California poppies receive affects their growth (e.g., more sunlight leads to short/squat growth, less to long/leggy growth).

### 2. Null Hypothesis
# Brief Explanations:
A null hypothesis states no relationship between variables. It assumes sunlight does not affect poppy growth.
# Answer:
The amount of sunlight California poppies receive has no effect on their growth.

### 3. Independent Variable
# Brief Explanations:
The independent variable is what is manipulated. Here, it’s the amount of sunlight (sunny vs. shady regions).
# Answer:
Amount of sunlight (sunny or shady conditions)

### 4. Dependent Variable
# Brief Explanations:
The dependent variable is what is measured (affected by the independent variable). Here, it’s the growth form of poppies.
# Answer:
Growth form of California poppies (short/squat or long/leggy)

### 5. Control Group
# Brief Explanations:
A control group is a baseline for comparison. If we test shady vs. sunny, the sunny group (or shady, depending on experimental design) can act as a control if we assume one is “normal.” Alternatively, a group with consistent sunlight (if manipulating) could be control, but here the natural sunny group (where short poppies grow) is the control to compare with shady (experimental) group.
# Answer:
California poppies in the sunny region (to compare with those in the shady region)

### Collecting Data - Replication
# Brief Explanations:
Replication means repeating the experiment to ensure results are consistent. For example, observing multiple poppies in sunny and shady areas, or repeating the observation over time.
# Answer:
Repeat the observation of poppy growth in sunny and shady regions across multiple days or with multiple plants to confirm results.

### Collecting Data - Sample Size ($ n $)
# Brief Explanations:
Sample size is the number of subjects (poppies) measured. Larger $ n $ increases reliability.
# Answer:
Count the number of California poppies in both sunny and shady regions (e.g., $ n = 20 $ poppies total, 10 in sun, 10 in shade).

### Collecting Data - Accuracy
# Brief Explanations:
Accuracy is how close measurements are to the true value. For growth, accurately measuring height/shape of poppies.
# Answer:
Use a ruler to measure poppy height and observe shape (short/squat vs. long/leggy) precisely to reflect true growth differences.

### Collecting Data - Precision
# Brief Explanations:
Precision is consistency of measurements. Repeating measurements of the same poppy should yield similar results.
# Answer:
Measure the height of each poppy multiple times (e.g., 3 times) and ensure the measurements are consistent (small variation between trials).

### Collecting Data - Uncertainty
# Brief Explanations:
Uncertainty is the error in measurements. For example, ruler measurement error or subjective shape classification.
# Answer:
Uncertainty exists in measuring poppy height (e.g., ±0.5 cm with a ruler) or classifying “short/squat” vs. “long/leggy” (subjective judgment).

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QUESTION IMAGE

Question

Explanation:

1. Hypothesis

Answer:

2. Null Hypothesis