Question

Survey at least 20 people to find out what traits they have for each of the features below. (Note: survey can include family, friends, and images from media) Tally the numbers for each trait and record those totals in each column. When completing the survey, be sure to include yourself as one of the individuals surveyed. Also include at least one set of parents and offspring in the individuals you survey. Document the features of each member of the family you surveyed within the data table, but also make a special note of these features in the observation section of your report. This information will be important when writing your conclusion. Calculate the percentages for each trait in your total sample and list those percentages in this section of your report.

Answer 1

The student's task involves conducting a survey on certain traits, tallying the data, calculating percentages, and analyzing trends in a biological context, which typically includes understanding heredity and genetic trait distribution.

Step-by-step explanation:

The student's question involves conducting a survey to gather data on certain traits, tallying the numbers of each trait, and calculating percentages. This activity is commonly used in biology classes to understand heredity and the distribution of genetic traits in a population. Initiating with family members and acquaintances, the student is expected to document traits and analyze the data to determine trends. This exercise is also designed to introduce the student to basic statistical analysis and understand the significance of sample size in research.

When calculating percentages, the student will need to use the total number of individuals surveyed as the denominator. For example, if 10 out of 20 people have brown eyes, then 50% of the sample has brown eyes. It's crucial to ensure accurate data collection and representation of various family generations for a comprehensive analysis of traits. Moreover, when plotting characteristics such as height and weight, the student might notice a trend in the data distribution, which can help predict correlations between these traits.