JNSHS Biology Data Processes Review

What is the primary purpose of a t-test in Biology?

• To determine if there is a significant difference between the means of two groups

• To calculate the average value of a dataset

• To measure the variability of a dataset

• To establish a correlation between two variables

What does standard deviation measure in a biological dataset?

• The average distance of each data point from the mean + precision

• The total range of the data

• The error in measurement

• The correlation between two variables

Standard error in Biology is primarily used to:

• Measure the accuracy of the sample mean as an estimate of the population mean + accuracy

• Calculate the mean of a dataset

• Determine the range of data points

• Establish causation between two variables

Which of the following best describes a positive correlation in Biology?

• As one variable increases, the other variable decreases

• As one variable increases, the other variable also increases

• The variables do not show any consistent relationship

• The correlation coefficient is 0

In the context of Biology, how is correlation different from causation?

• Correlation implies a direct effect between two variables, while causation does not

• Correlation and causation are essentially the same

• Correlation indicates a relationship between two variables, but does not imply one causes the other

• Causation can be determined statistically, but correlation cannot

Tags

NGSS.HS-LS2-6

What does a high standard deviation indicate about a biological dataset?

• The data points are very close to the mean

• The data points are spread out over a wide range and it is not precise

• The dataset is very small

• The dataset is highly accurate

Tags

NGSS.HS-LS4-3

NGSS.HS-LS3-3

The standard error decreases when:

• The sample size decreases

• The sample size increases

• The standard deviation increases

• The mean of the dataset increases

A negative correlation in Biology means that:

• As one variable increases, the other variable also increases

• As one variable increases, the other variable decreases

• The variables are not related

• The correlation coefficient is 0

Precision in scientific measurements refers to:

• How close the measured values are to the true value

• How close the measured values are to each other

• The range of measurement values

• The accuracy of the measurement instrument

Accuracy in scientific measurements is best described as:

• The consistency of measurement values

• The closeness of a measured value to its true value

• The range of measurement values

• The precision of the measurement instrument