ASU BIO 181 Exam 1 100 A+ Questions
and Answers Verified Solutions Latest
Update 2026/2027
Question:
ASU BIO 181 Exam 1 Question and Answer 2026/2027 | 100% Verified A+
■ what are the three components of a scientific argument
Answer:
1. claim 2. evidence 3.
reasoning
■ What is quantitative data? -✓✓Numerical information that can be measured and has a unit of
measurement.
■ What are the two types of quantitative data? -✓✓Discrete (counted) and continuous (measured).
■ qualitative data -✓✓descriptive and based on observations involving the 5 senses
■ Variable -✓✓A quantity that can be changed
■ Constant -✓✓Does not change value
■ Dependent variable is what coordinate -✓✓X axis
■ Independent variable is what coordinate -✓✓Y axis
■ Frequency -✓✓The number of occurrences a data point is found in a data set
■ Relative frequency -✓✓Tell you how often something happens compared to the total number of
times it could have happened. A proportion expressed as a decimal, percentage, or fraction.
■ Minimum -✓✓Lowest number in the data set
■ Maximum -✓✓Highest number in the data set
■ Median -✓✓Middle number in the data set
■ Mode -✓✓The value that occurs most frequently in a given data set.
■ Mean -✓✓The average. Calculated by adding all the numbers together, and dividing by how
many numbers in the set. Represented by Greek letter
■ Standard deviation -✓✓A measure of how spread out a data is around its mean. It tells you how
much, on average, data points deviate from the central tendency (average) of data set
■ What is an example of a low standard deviation? -✓✓When there is a little variation. For
example, students scores cluster around the average with a few outliers.
■ What is an example of a high standard deviation? -✓✓If the student scores are spread out over a
wider range, some students scoring much higher or lower than the average. A greater variation.
■ How do you calculate standard deviation? -✓✓Take a data set and find the mean of the data set.
Subtract the mean from each data point and square the results. Calculate the variance by dividing
sum of squares by sample size to get average standard deviation. Square root the variance to get
and Answers Verified Solutions Latest
Update 2026/2027
Question:
ASU BIO 181 Exam 1 Question and Answer 2026/2027 | 100% Verified A+
■ what are the three components of a scientific argument
Answer:
1. claim 2. evidence 3.
reasoning
■ What is quantitative data? -✓✓Numerical information that can be measured and has a unit of
measurement.
■ What are the two types of quantitative data? -✓✓Discrete (counted) and continuous (measured).
■ qualitative data -✓✓descriptive and based on observations involving the 5 senses
■ Variable -✓✓A quantity that can be changed
■ Constant -✓✓Does not change value
■ Dependent variable is what coordinate -✓✓X axis
■ Independent variable is what coordinate -✓✓Y axis
■ Frequency -✓✓The number of occurrences a data point is found in a data set
■ Relative frequency -✓✓Tell you how often something happens compared to the total number of
times it could have happened. A proportion expressed as a decimal, percentage, or fraction.
■ Minimum -✓✓Lowest number in the data set
■ Maximum -✓✓Highest number in the data set
■ Median -✓✓Middle number in the data set
■ Mode -✓✓The value that occurs most frequently in a given data set.
■ Mean -✓✓The average. Calculated by adding all the numbers together, and dividing by how
many numbers in the set. Represented by Greek letter
■ Standard deviation -✓✓A measure of how spread out a data is around its mean. It tells you how
much, on average, data points deviate from the central tendency (average) of data set
■ What is an example of a low standard deviation? -✓✓When there is a little variation. For
example, students scores cluster around the average with a few outliers.
■ What is an example of a high standard deviation? -✓✓If the student scores are spread out over a
wider range, some students scoring much higher or lower than the average. A greater variation.
■ How do you calculate standard deviation? -✓✓Take a data set and find the mean of the data set.
Subtract the mean from each data point and square the results. Calculate the variance by dividing
sum of squares by sample size to get average standard deviation. Square root the variance to get
