Quiz 1 Flashcards
(71 cards)
The term statistics can have two meanings
Statistics is the science of collecting, organizing, and interpreting data and statistics are the data (numbers or other pieces of information) that describe or summarize something
Each year, a group surveys 50,000 households to study internet usage
- In one area of the study, the group is interested in finding out how many hours a day the household spends streaming video from the internet
- Describe the five basic steps in a statistical study with an example of their application below
- State the goal of your study. In this case, it is to discover how many hours per day a household spends streaming internet video.
- Choose a representative sample from the population. In this case, it would be choosing a sample of 50,000 households.
- Collect raw data from the sample and summarize these data by finding sample statistics of interest.in this case, it would be asking the households how many hours they spend streaming internet video and turning this data into an average.
- Use the sample statistics to infer the population parameters. In this case, based on the data gathered, the group estimates the average time per day that a household spends streaming internet
video. - Draw conclusions to determine what you learned and whether you achieved your goal. In this case, we discovered the average time per day that a household spends streaming internet video.
In a test of the effectiveness of garlic for lowering cholesterol, 57 adult women were treated with garlic in a processed tablet form.
- Cholesterol levels were measured before and after the treatment.
- The changes in their levels of LDL cholesterol (in mg/dL) have an average (mean) of 4.9.
- Identify the sample, the population, the sample statistic, and the population parameter in this study
All adult women
Use the given statistics and margin of error to identify the range of valves (confidence interval) likely to contain the true value of the population parameter.
- In a poll of 1,586 randomly selected adults in a certain country, 72% said that global warming is already harming people around the world.
- The margin of error is 4 percentage points
The range of values likely to contain the population parameter is from 68% to 76%
- Whole numbers only, use ascending order (low to high)
- From = sample statistic - margin of error
- To = sample statistic + margin of error
In a poll, surveyed men were asked if they agreed with this statement: “abortion is a private matter that should be left to women to decide without government intervention.”
- Among the men who were interviewed by women, 71% agreed with the statement.
- Among the men who were interviewed by men, 63% agreed with the statement.
- Assuming that the discrepancy is significant, how might that discrepancy be explained?
Men may think that agreeing is the response the female interviewers favor
What is a census, what is a sample, and what is the difference between them?
A census is the collection of data from every member of the population, but a sample is the collection of data from only a part of the population
What is a biased sample, and what is a major problem with it?
A biased sample is a sample where the members of the sample differ in some specific way from the members of the general population.
- The major problem with a biased sample is that the results obtained from a biased sample are likely to be misleading.
In a Gallup poll of 1,038 randomly selected American teachers, 89% said that they feel vulnerable to identify theft.
- Identify the sample, population, and sampling method.
- Then comment on whether you think it is likely that the sample is representative of the population.
- Sample - The 1,038 randomly selected American teachers.
- Population - All American teachers.
- Sampling method - Random.
- Comment - The sample is fairly large and random. Assuming it was obtained by a reputable firm, the sample is likely to be representative of the population.
Determine whether there is a potential for bias and explain your answer.
- A researcher for the department of transportation surveys 3200 randomly selected adults by asking them if they possess a valid driver’s license.
There do not appear to be any sources of bias, because the researcher has nothing to gain by distorting the results and the department of transportation is likely to use sound sampling methods
On days of governor elections, the news media organize an exit poll in which specific polling stations are randomly selected and all voters are surveyed as they leave the premises.
- What type of sampling is used?
- Cluster sampling - Is the procedure likely to yield a representative sample or a biased sample?
- The procedure is likely to be representative because the polling stations are randomly chosen and because all people at the chosen polling stations are part of the sample.
An engineering student measures the strength of fingers used to press the buttons on a newly designed gas station pump by testing her own family members.
- What type of sampling is used?
- Convenience sampling - Is the procedure likely to yield a representative sample or a biased sample?
- The procedure is likely to be biased, because it consists of family members likely to have similar physical characteristics and exercise habits.
A marketing expert for a particular magazine is planning a survey in which 478 people will be randomly selected from each age group: 10-19, 20-29, and so on.
- What type of sampling is used?
- Stratified sampling - Is the procedure likely to yield a representative sample or a biased sample?
- The procedure is likely to be biased because people from those age groups are not evenly distributed throughout the population.
A college dean obtains an alphabetical list of all full time students at her college and she selects every 12th name on that list and interviews those students to find the amount of student debt incurred by each of them.
- She uses the results to estimate the average (mean) amount of student debt incurred by college students in the United States.
- What type of sampling is used?
- Systematic sampling - Is the procedure likely to yield a representative sample or a biased sample?
- The procedure is likely to yield a biased sample because the students she interviews are all from the same school.
A sample of manufactured tires is obtained by using a computer to randomly generate a number between 1 and 900, inclusive, for each tire, and the tire is tested if the generated number is 900
- What type of sampling is used?
- Simple random sampling - Is the procedure likely to yield a representative sample or a biased sample?
- The procedure is likely to yield a representative sample because a simple random sampling is unlikely to yield a biased sample.
Define variable, variables of interest, explanatory variable, and response variable.
- How are the explanatory and response variables related to each other?
- Define variable.
- Any item or quantity that can vary or take on different values. - Define variables of interest.
- The items or quantities that the study seeks to measure in a statistical study. - Define explanatory variable.
- A variable that may explain or cause the effect. - Define response variable.
- A variable that responds to changes in the explanatory variable. - How are the explanatory and response variables related to each other?
- The explanatory variable may cause the response variable to change.
Determine whether the statement makes sense (or is clearly true) or does not make sense (or is clearly false). Explain clearly.
I plan to use a double blind experiment to test the hypothesis that people will experience a decrease in their pulse rate if they exercise vigorously for 40 minutes every day.
The statement does not make sense.
- The subjects who exercise will know that they are exercising.
Determine whether the following study is an observational study, an experiment, or a meta analysis, and explain your choice.
A study of 2,000 monthly cell phone bills, in the last year, identified the proportion of messages in all outgoing communications.
The study is an observational study because there was no attempt to influence the results.
Determine whether the study is an observational study, an experiment, or a meta analysis, and explain your choice.
In a study of the XSORT gender selection method developed by the Genetics and IVF institute, 942 couples given treatment had 64 male babies and 878 female babies.
This study is an experiment because there was subjects were given a treatment.
- The treatment group consists of the 942 couples given the XSORT treatment.
- The control group consists of others not given any treatment.
In a comparison of gasoline with different octane ratings, 5 subcompact cars are driven with 87 octane gasoline, while 4 limousines are driven with 91 octane gasoline.
- After being driven for 250 miles, the amount of gasoline consumed is measured for each vehicle.
- The researchers doing the gasoline consumption measurements are not aware of which vehicles receive 87 octane gasoline and which receive 91 octane gasoline.
- Identify any problems that are likely to cause confounding and explain how the problems could be avoided.
- Identify any problems that are likely to cause confounding.
- If there are differences in the amount of gasoline consumption, there is no way to know if the differences are attributable to the treatments (87 or 91 octane) or to the type of vehicle (subcompact car or limousine).
- The groups are so small that confounding is likely to be introduced by the selection of the group subjects. - Explain how the problems could be avoided.
- Differences in the gasoline consumption measurements can be correctly attributed to octane level by using 87 octane gasoline in half of the subcompact cars and half of the limousines and by using 91 octane gasoline in the other vehicles.
- The size of the groups should be increased to eliminate the possibility of a biased sample.
An article noted that chocolate is rich in flavonoids.
- The article reports that “regular consumption of foods rich in flavonoids may reduce the risk of coronary heart disease.”
- The study received funding from a candy company and a chocolate manufacturers association.
- Identify and explain at least one source of bias in the study described.
- Then suggest how the bias might have been avoided.
The researchers may have been more inclined to provide favorable results because funding was provided by a party with a definite interest.
- The bias could have been avoided if the researchers were not paid by the candy company and the chocolate manufacturers.
A voter receives a call in which the caller claims to be conducting a national opinion research poll.
- The voter is asked if their opinion about a congressional candidate would change if they knew that the candidate once had a car crash while driving under the influence of alcohol.
- Identify and explain at least one source of bias in the study described.
- Then suggest how the bias might have been avoided.
The wording of the question is biased to strengthen opposition against a particular candidate.
- The question wording should be changed to be more neutral.
The headline “Drugs shown in 98 percent of movies” accompanied a news story that described a “government study” claiming that drug use, drinking, or smoking was depicted in 98% of the top movie rentals.
- Discuss whether the headline accurately represents the story.
The headline refers to drugs whereas the story refers to “drug use, drinking, or smoking.”
- The headline is very misleading because the term “drugs” is generally considered to consist of drugs other than cigarettes or alcohol.
- Also, all movies consist of more than just the top movie rentals.
Much like sound bites of news stories, statistical studies are often reduced to one or two sentence stat-bytes.
- For the following stat-byte, discuss what crucial information is missing and what more you would want to know before acting on the study.
CNN reported on a Zagat survey of America’s top restaurants that found that “only nine restaurants achieved a rare 29 out of possible 30 rating and none of those restaurants are in the Big Apple.”
Which of the following are crucial pieces of information that you would want to know before acting on the study?
1. How the respondents were selected.
2. Who the respondents in the survey were.
3. How the quality of restaurants was measured.
Determine whether the data described below are qualitative or quantitative and explain why.
The numbers of students in the graduating class at different high schools.
The data are quantitative because they consist of counts or measurements.