Answer :
In the process of organizing data about the element lead into quantitative and qualitative categories, it's important to understand the distinction between these two types of data:
1. Quantitative Data: These are data that can be measured and expressed numerically. Examples include measurements such as density, boiling point, melting point, and other numerical values.
2. Qualitative Data: These are descriptive data that describe characteristics or qualities that cannot be measured in numerical terms. Examples include descriptions like color, texture, shape, and other attributes.
Examining Alisha's table, we see the following entries under each column:
- Quantitative:
- Density: [tex]$11.34 g/cm^3$[/tex]
- Solid at room temperature
- Boiling point: [tex]$174.9^{\circ}C$[/tex]
- Melting point: [tex]$327.5^{\circ}C$[/tex]
- Qualitative:
- Soft
- Dull gray at room temperature
- Malleable
- Corrosion-resistant
Let's analyze each entry:
- Density: [tex]$11.34 g/cm^3$[/tex]: This is quantitative because it provides a measurable value.
- Solid at room temperature: This can be seen as qualitative because it describes a characteristic (state of matter) rather than providing a numerical measure. This one seems misplaced in the quantitative column.
- Boiling point: [tex]$174.9^{\circ}C$[/tex]: This is quantitative due to the specific temperature value.
- Melting point: [tex]$327.5^{\circ}C$[/tex]: This is also quantitative due to the specific temperature value.
- Soft: This describes a characteristic, so it is qualitative.
- Dull gray at room temperature: This describes a visual characteristic (color), making it qualitative.
- Malleable: This describes the ability of lead to be shaped or deformed without breaking, which is a qualitative characteristic.
- Corrosion-resistant: This describes a property of resisting corrosion, making it qualitative.
From this analysis, Alisha placed "Malleable" in the wrong column. "Malleable" is qualitative because it describes the characteristic of being easily molded or shaped.
The correct answer is:
Malleable
1. Quantitative Data: These are data that can be measured and expressed numerically. Examples include measurements such as density, boiling point, melting point, and other numerical values.
2. Qualitative Data: These are descriptive data that describe characteristics or qualities that cannot be measured in numerical terms. Examples include descriptions like color, texture, shape, and other attributes.
Examining Alisha's table, we see the following entries under each column:
- Quantitative:
- Density: [tex]$11.34 g/cm^3$[/tex]
- Solid at room temperature
- Boiling point: [tex]$174.9^{\circ}C$[/tex]
- Melting point: [tex]$327.5^{\circ}C$[/tex]
- Qualitative:
- Soft
- Dull gray at room temperature
- Malleable
- Corrosion-resistant
Let's analyze each entry:
- Density: [tex]$11.34 g/cm^3$[/tex]: This is quantitative because it provides a measurable value.
- Solid at room temperature: This can be seen as qualitative because it describes a characteristic (state of matter) rather than providing a numerical measure. This one seems misplaced in the quantitative column.
- Boiling point: [tex]$174.9^{\circ}C$[/tex]: This is quantitative due to the specific temperature value.
- Melting point: [tex]$327.5^{\circ}C$[/tex]: This is also quantitative due to the specific temperature value.
- Soft: This describes a characteristic, so it is qualitative.
- Dull gray at room temperature: This describes a visual characteristic (color), making it qualitative.
- Malleable: This describes the ability of lead to be shaped or deformed without breaking, which is a qualitative characteristic.
- Corrosion-resistant: This describes a property of resisting corrosion, making it qualitative.
From this analysis, Alisha placed "Malleable" in the wrong column. "Malleable" is qualitative because it describes the characteristic of being easily molded or shaped.
The correct answer is:
Malleable
Answer:
Explanation:
Alisha placed "Density: 11.34 g / cm^3" in the wrong column. Density is a quantitative property, so it should be under the "Quantitative" column, not the "Qualitative" column.