Statistics partner project
Bias is when someone has a personal view, Ex. I have an iPad so I think iPads are the best and that tablets aren’t as good. They usually use percentages to show the amount of people who took the survey, but it’s usually a false because we don’t know how many people took the survey or who it was. Ethics in statistics can be very misleading. The data can be manipulated to represent whatever bias is coming from whoever is saying it. For example, data collection can be made biased by the wrong questions that stimulate strong emotions rather than real life situations. If there is not enough money in the budget to conduct a large enough survey the data will be misleading. For example, if I hire one person to go collect data in one neighborhood it would not be the same as me hiring 10 people to go to multiple neighborhood. The timing affects the mood, it depends at the time of what is going on in the individuals personal life, it could affect the results. Privacy in statistics can make people feel very uncomfortable when answering some of these questions. People could lie to protect there image and not be embarrassed of there answers. For example if you answered a survey and the results were made known to your friends and family it could be embarrassing or uncomfortable. Cultural sensitivity is when you get talk about religion and race. Your own religion and race could effect your results of what you believe in. For example Donald trump is focusing his campaign on certain demographics and ignoring others.
A sample is a portion of a population and a population is a larger representation. For example census Canada sent out a survey to millions of people all over Canada. A sample is just a Much smaller community of people answering the survey.
A convenience sample is made up of people who are easy to reach. For example, interviewing shoppers at a mall. The advantage is its economical. Random sample is a unbiased representation of a group. The benefit is a really good unbiased sampling. Sample is a method of studying from a few selected items. The benefit of sampling is the whole reason of statistics. Stratified sampling is when the researcher divides the entire population into different sub groups. For example cutting the population into groups like, age, gender and religion. A Benefit is seeing if there is strong trends with in those categories. Systematic sample is people from a larger population are selected according to a random starting point. Voluntary response sample is when people volunteer for surveys. For example I signed up for a survey on something I was interested in. A Benefit is people would be more honest and interested to do it. A stratified sampling may negatively influence the date.
Theoretical is just a theory, it has not yet been proven to be true. A experimental probability has research behind it proving facts.
1. The Internet providers will declare they have the fastest internet speeds. In reality they may have the fastest internet speeds in a small sampling but not for the larger population.
2. This photo is misleading from the scale, the scale is misleading because the numbers are only a 10% difference but visually it looks 6 times bigger.
3. 90% of all cats prefer temptations.
This is misleading because cats don’t talk and can’t say which cat treat they prefer more.