Nursing Elites

1. What does a positive correlation between two variables indicate?

• A. One variable causes the other.
• B. Both variables move in the same direction.
• C. Both variables move in opposite directions.
• D. There is no relationship between the variables.

Correct answer: B

Rationale: A positive correlation between two variables indicates that they move in the same direction. This means that as one variable increases (or decreases), the other variable also increases (or decreases). Choice A is incorrect because correlation does not imply causation; it only shows a relationship between variables. Choice C is incorrect as it describes a negative correlation where variables move in opposite directions. Choice D is incorrect as a positive correlation implies a relationship between the variables.

2. What is a common sign of a urinary tract infection in older children?

• A. Frequent urination
• B. Increased appetite
• C. Elevated blood pressure
• D. Decreased energy levels

Correct answer: A

Rationale: Frequent urination is a common sign of a urinary tract infection in older children. It is often accompanied by other symptoms such as pain or discomfort. Increased appetite (Choice B) is not typically associated with urinary tract infections. Elevated blood pressure (Choice C) is more commonly linked to conditions like hypertension, not urinary tract infections. Decreased energy levels (Choice D) can be a sign of various health issues but are not a typical symptom of a urinary tract infection.

3. What is one benefit of using a large sample size in an experiment?

• A. Chance variation is less likely to affect the results.
• B. The possibility of a placebo effect is eliminated.
• C. The experiment will be double-blind.
• D. The control group will be similar to the experimental group.

Correct answer: A

Rationale: Corrected Rationale: Using a large sample size reduces the likelihood of chance variation affecting the results, providing more reliable data. Choice B is incorrect because the placebo effect is related to participants' beliefs, not sample size. Choice C is incorrect as double-blind refers to a method of reducing bias, not directly related to sample size. Choice D is incorrect because the similarity between the control and experimental groups is not solely dependent on sample size.

4. A weight reduction regimen calls for a daily intake of 1400 kilocalories, which includes 30 grams of fat. What percentage of the total energy is contributed by fat?

• A. 8.50%
• B. 15.00%
• C. 19.00%
• D. 25.50%

Correct answer: C

Rationale: To calculate the percentage of total energy contributed by fat, first determine the energy from fat by multiplying the fat amount (30g) by the energy density of fat (9 kcal/g), which equals 270 kcal. Then, divide the energy from fat (270 kcal) by the total energy intake (1400 kcal) and multiply by 100 to find the percentage: (270 kcal / 1400 kcal) * 100 = 19.29% ≈ 19.00%. Therefore, fat contributes approximately 19% of the total energy in the diet. Choice A (8.50%) is too low, while choices B (15.00%) and D (25.50%) are incorrect calculations based on the given information.

5. Why would a person who eats a bowl of oatmeal for breakfast every day most likely be making a food choice based on ___?

• A. habit
• B. availability
• C. body image
• D. environmental concerns

Correct answer: A

Rationale: The correct answer is A: habit. Eating the same food regularly often stems from habit, which is a behavior that is repeated regularly and tends to occur subconsciously. Choice B, availability, is incorrect as it refers to the accessibility of a particular food rather than the frequency of consumption. Choice C, body image, is also incorrect as this term relates to how one perceives their own body rather than their food choices. Choice D, environmental concerns, is unrelated to the scenario provided, which is about the frequency of choosing oatmeal for breakfast.

Similar Questions