data analysis
Survey- used to collect opinions and/or info
Ethics- involves judgments of right and wrong
Influencing Factors- affect how data are collected or how responses are obtained
INFLUENCING FACTORS- Effect how data is collected or how responses are obtained
-bias
-use of language
-ethics
-cost
-time and timing
-privacy
-cultural sensitivity
PROBABILITY-The likelihood that an event will occur
COLLECTING DATA
Population - all the people in the group being studied
Sample - any group of the people selected from the population
Census - is conducted when data are collected from each member of the population
Valid Conclusion - results from data collection that represents what is typical of the population
SAMPLES
Convenience sample - choosing individuals from the population who are easy to access
Random Sample - Choose a specific number of people randomly from whole population
1. Stratified sample - dividing the whole pop. into distinct groups then choose the same amount of members in each group.
2. Systematic sample - choosing people at fixed intervals from ordered list of the whole population.
Voluntary Response Sample- inviting the whole population to participate
Key Ideas
-A biased example can make survey results inaccurate
-When a sample represents the population, you can generalize the results of the population
-You can use experimental probability and theoretical probability to help make decisions based on probability.
Ethics- involves judgments of right and wrong
Influencing Factors- affect how data are collected or how responses are obtained
INFLUENCING FACTORS- Effect how data is collected or how responses are obtained
-bias
-use of language
-ethics
-cost
-time and timing
-privacy
-cultural sensitivity
PROBABILITY-The likelihood that an event will occur
COLLECTING DATA
Population - all the people in the group being studied
Sample - any group of the people selected from the population
Census - is conducted when data are collected from each member of the population
Valid Conclusion - results from data collection that represents what is typical of the population
SAMPLES
Convenience sample - choosing individuals from the population who are easy to access
Random Sample - Choose a specific number of people randomly from whole population
1. Stratified sample - dividing the whole pop. into distinct groups then choose the same amount of members in each group.
2. Systematic sample - choosing people at fixed intervals from ordered list of the whole population.
Voluntary Response Sample- inviting the whole population to participate
Key Ideas
-A biased example can make survey results inaccurate
-When a sample represents the population, you can generalize the results of the population
-You can use experimental probability and theoretical probability to help make decisions based on probability.
Survey questions should be worded so they are free from factors influencing the responses