Is condensation a chemical or physical change?

Is distillation a chemical or physical change?

Which are characteristic of saturated fats? A. liquid at room temperature and found in vegetable oils. B. mostly absorbed in the large intestine. C. derived from animal sources and are solid at room temperature. D. tend to lower blood cholesterol.

Describe what happens, at the molecular level, when a substance boils.

Describe what happens, at the molecular level, during melting.

What is the function of a ribosome?

Round each number as indicated:

(a) $1.2367$ to $4$ significant figures

(b) $1.2384$ to $4$ significant figures

(c) $0.1352$ to $3$ significant figures

(d) $2.051$ to $2$ significant figures

(e) $2.0050$ to $3$ significant figures

Find the x-intercept and the y-intercept of the graph of each equation. Then graph the equation.

y - x = -9

Solve each problem. See the examples in this section.

High concentrations of carbon monoxide CO can cause coma and possible death. The time required for a person to reach a $\mathrm{COHb}$ level capable of causing a coma can be approximated by the quadratic model

$$T=.0002 x^2-.316 x+127.9,$$

where $T$ is the exposure time in hours necessary to reach this level and $500 \leq x \leq 800$ is the amount of carbon monoxide present in the air in parts per million (ppm).

Estimate the concentration of CO necessary to produce a coma in $4 \mathrm{~hr}$.

When all points in a scatter plot fall on the regression line, what is the value of the correlation coefficient? Describe what this means.

The linear correlation coefficient of a set of data points is 0.846. a. Is the slope of the regression line positive or negative? Explain your answer. b. Determine the coefficient of determination.

If a set of test scores has a large range but a small standard deviation , describe what this means about students performance on the test.

Determine whether each statement makes sense or does not make sense, and explain your reasoning. I'm working with data sets with different means and the same standard deviation.

Determine whether each statement makes sense or does not make sense, and explain your reasoning. The mean can be misleading if you don’t know the spread of data items.