Lab 1 Measurements
Lab Report 1: Measurement
Lab Date: January 17,20XX
Lab Partners: XZ
Report Date: January 24,2014
Report Written by: XXXXXX
Introduction:
Measurement is a form of quantitative observation. The ability to make accurate and precise quantitative observations is crucial to science. Accuracy in this sense refers to the closeness of the measured result to the hypothetical “true” value (Motzny 2014). Having a precise measurement implies its exactness. This means the measurement’s ability to be consistently reproduced. A number and a scale or unit defines measurement. The universal scale and the one most used in science is the SI unit. There are seven base SI units as listed in Table 1.4 This lab explores various techniques, units, and instruments used to measure in order to demonstrate the relationship between method used and value of measurement obtained. Single unit or a combination of units can define quantities. For this lab a way to define a combination of units is introduced in the form of density. Density is the ratio of mass in grams (g) to volume in milliliters (mL) or liters (L). Both of these units are needed in order to calculate density in the equation d= m/V.
Table 1.4, The SI system has seven base units. Other units are derived from these bases. This chart lists the base units and their symbols.
Quantitative data in the form of discrete variables is also explored within this lab. Discrete variables are usually finite. They are countable values. These nominal variables will be explored and discussed in regards to a possible fractional value. In order to understand how to interpret the quantitative data collected, statistical methods are introduced in this lab. The use of methods such as mean, standard deviation, and range are used to interpret results of what may be closely related to the “true” value of a measurement. The mean is the average of a set of
Lab Date: January 17,20XX
Lab Partners: XZ
Report Date: January 24,2014
Report Written by: XXXXXX
Introduction:
Measurement is a form of quantitative observation. The ability to make accurate and precise quantitative observations is crucial to science. Accuracy in this sense refers to the closeness of the measured result to the hypothetical “true” value (Motzny 2014). Having a precise measurement implies its exactness. This means the measurement’s ability to be consistently reproduced. A number and a scale or unit defines measurement. The universal scale and the one most used in science is the SI unit. There are seven base SI units as listed in Table 1.4 This lab explores various techniques, units, and instruments used to measure in order to demonstrate the relationship between method used and value of measurement obtained. Single unit or a combination of units can define quantities. For this lab a way to define a combination of units is introduced in the form of density. Density is the ratio of mass in grams (g) to volume in milliliters (mL) or liters (L). Both of these units are needed in order to calculate density in the equation d= m/V.
Table 1.4, The SI system has seven base units. Other units are derived from these bases. This chart lists the base units and their symbols.
Quantitative data in the form of discrete variables is also explored within this lab. Discrete variables are usually finite. They are countable values. These nominal variables will be explored and discussed in regards to a possible fractional value. In order to understand how to interpret the quantitative data collected, statistical methods are introduced in this lab. The use of methods such as mean, standard deviation, and range are used to interpret results of what may be closely related to the “true” value of a measurement. The mean is the average of a set of