Collect and Interpret Experimental Data - Chemistry

$2$. Change in $y$ divided by change in $x$.

$2$. Constant term in linear equation $y=mx+b$.

Reaction rate. Rate is what you measure in response.

Systematic error. Consistent bias in same direction every time.

$%\text{ error}=\frac{|\text{exp}-\text{acc}|}{\text{acc}}\times 100%$. Compares experimental result to accepted value.

A data point unusually far from the others, suggesting possible error. Unusually distant point that may indicate error.

$4.9%$. Difference divided by average of the two values.

Bar graph. Compares separate, distinct categories.

$\rho=\frac{m}{V}$. Mass divided by volume gives density.

Closeness of a measurement to the accepted (true) value. How close your measurement is to the true value.

Closeness of repeated measurements to each other. How close repeated measurements are to each other.

A factor kept constant to isolate the effect of the independent variable. Kept constant to ensure fair comparison.

Scatter plot. Shows correlation between two continuous variables.

Qualitative: descriptive; quantitative: numerical measurements. Qualitative uses words, quantitative uses numbers.

Closeness of a measurement to the accepted (true) value. How close your measurement is to the true value.

Closeness of repeated measurements to each other. How close repeated measurements are to each other.

A consistent bias that shifts results in one direction. Always shifts results in the same direction.

Unpredictable variation that causes scatter in measurements. Creates unpredictable scatter around true value.

The variable intentionally changed by the experimenter. The variable you control and change on purpose.

The variable measured in response to the independent variable. The variable you observe and measure as response.

A factor kept constant to isolate the effect of the independent variable. Kept constant to ensure fair comparison.

To provide a baseline for comparison without the tested change. Shows what happens without the experimental change.

Repeating trials to improve reliability and estimate variability. Multiple trials increase reliability of results.

Consistency of results across repeated trials or measurements. Results are repeatable and consistent.

milli-. Prefix meaning one thousandth.

micro-. Prefix meaning one millionth.

kilo-. Prefix meaning one thousand.

kilogram (kg). Standard mass unit in scientific work.

kelvin (K). Absolute temperature scale starting at absolute zero.