TEAS Test Math Prep

Correct Answer: A

Rationale: To convert feet to kilometers, we need to know that 1 kilometer is approximately 3280.84 feet. So, to find out how many kilometers 4382 feet is, we divide 4382 by 3280.84, which equals approximately 1.336 kilometers. Therefore, the correct answer is A: 1.336 kilometers. Choice B: 14.376 kilometers is incorrect as it is too high. Choice C: 1.437 kilometers is incorrect as it is a close but slightly higher value. Choice D: 13.336 kilometers is incorrect as it is much higher than the actual value.

Correct Answer: C

Rationale: To solve this, let's substitute x = 2 into the given equation. Starting with the equation: Now, we substitute x = 2: Therefore, . Thus, the correct answer is C: 3. Explanation for other choices: A: If x = 2, then is not equal to 1. B: If x = 2, then is not equal to 2. D: If x = 2, then is not equal to 4.

Correct Answer: D

Rationale: Failed to generate a rationale after 5 retries.

Correct Answer: A

Rationale: The correct answer is A: Mean. The mean is calculated by summing all values and dividing by the number of values. Outliers can significantly skew the mean because they have a greater impact on the total sum. The median (B) is less affected by outliers since it is the middle value when data is sorted. The mode (C) is the most frequent value and is not affected by outliers. Choice D is incorrect as outliers can impact the mean in a small sample set.

Correct Answer: A

Rationale: The correct answer is A. When the sampling distribution of means is plotted, it follows the central limit theorem, which states that for a large enough sample size, the distribution of sample means will be approximately normally distributed regardless of the shape of the population distribution. This is because as sample size increases, the distribution becomes more normal due to the law of large numbers. Choice B is incorrect because the sampling distribution of means is not positively skewed. Choice C is incorrect because it is not negatively skewed. Choice D is incorrect as there is a predictable shape to the distribution, which is approximately normal due to the central limit theorem.