WorksheetsCh. 3 Intro Statistics Review
Total questions: 60
Worksheet time: 1hrs 10mins
Elise, a supermarket employee, approached 50 random customers and asked whether they would be willing to discuss what they like most about the store. She interviewed the 22 who said yes. Is this sample of the supermarket's customers likely to be biased?
yes
no
Is the following question biased? Why or why not?
"To see who has a computer at home, the front office asks 10 randomly chosen students from each grade."
Yes, because it favors the responses from one grade over the others
Yes, because it is a random sample.
No, because it is a random sample.
No, because most students have computers.
Which scenario would produce the least biased results?
asking athletes at a gym what their favorite television show is
asking fans at a baseball game who their favorite baseball team is
asking shoppers at a store where their favorite place to shop is
asking students in a college library what their favorite college sports team is
A factory manufactures light bulbs. The factory currently has 300 boxes of light bulbs in its warehouse. To test the quality of bulbs, Alex decides to take out a sample of bulbs and test them to see if they work. Which surveying method will give him the LEAST valid results?
selecting ten boxes randomly, mixing the bulbs of these boxes together and then selecting ten bulbs randomly
selecting ten boxes randomly and then selecting one bulb randomly from each box
selecting one bulb randomly from every tenth box
selecting one box randomly and then selecting all the bulbs from the box
What is a factor that is measured for change in an experiment?
control
constant
explanatory variable
response variable
This method of sampling likely suffered from...
Is this study OBSERVATIONAL or EXPERIMENTAL?
Is this an OBSERVATIONAL or EXPERIMENTAL study?
What is the difference between an observational study and an experiment?
Observational studies compare data.
Experiments impose treatment on the subjects.
Experiments involve having multiple treatments.
Observational studies have subjects and treatments.
A report in a medical journal notes that the risk of developing Alzheimer's disease among subjects who regularly opted to take Ibuprofen was about half the risk among those who did not. Is this good evidence that Ibuprofen is effective in preventing Alzheimer's?
Yes, because the study was a randomized, comparative experiment
No, because the effect of Ibuprofen is confounded with the placebo effect
No, because this is an observational study. An experiment would be needed to confirm (or not confirm) the observed effect.
Yes, because a 50% reduction can't happen just by chance
In a completely randomized experimental design...
A control group must be used as a baseline for comparing the effects of the other treatments.
Similar subjects are grouped into blocks.
A placebo treatment is always used.
All experimental units are immediately randomly assigned to treatment groups.
A control group in an experiment is...
a group of similar subjects blocked together at the beginning of an experiment
a group that does not receive treatment (or receives a placebo treatment) to provide baseline data for comparison
Describe the placebo effect.
Subjects are unaware of which treatment they are receiving
Subjects have a favorable response to a "fake" treatment
Subjects AND researchers are unaware of which treatment is assigned to which subject.
How many rats do they need to start this experiment?
(a)
Statistically significant means
a difference in mean too large to occur simply due to chance variability in the random assignment.
a difference in mean small enough that it could be due to chance variation in the random assignment.
Is a difference of 0.2 statistically significant?
(100 dots total)
No
Yes
Is a difference of 0.4 statistically significant?
(100 dots total)
No
Yes
Is a difference of 0.3 statistically significant?
(100 dots total)
No
Yes
_______ is a part of a group being surveyed.
Sample
Population
Random Sample
Quartile
_______ is the entire group of objects or individuals considered for a survey.
Sample
Population
Random Sample
Quartile
A beverage company wanted to see if people in the United States liked their new logo. Which choice best represents a population?
A selection of logo artists.
Every person in the United States.
A selection of shoppers from different states.
3,800 children age 5 - 15
Which survey question is most likely to result in an unbiased sample?
Which do you like better, delicious apples or boring oranges?
Do you prefer apples, like I do, or oranges?
Don't you prefer apples to oranges?
Which do you prefer, apples or oranges?
A sample that does not fairly represent the population is called a _________________ sample
random
convenience
biased
population
What type of sample is this?
A person stands in a crowded park and asks whoever is nearby to answer a series of survey questions.
Systematic Response Sample
Simple Random Sample
Voluntary Response Sample
Convenience Sample
What type of sample is this?
A magazine conducts a survey asking readers to go to their website and answer a series of questions about health and beauty.
Systematic Response Sample
Simple Random Sample
Voluntary Response Sample
Convenience Sample
A valid conclusion can be made from a biased survey.
True
False
A TV producer wants to do a survey to find out which reality show is the favorite of viewers in Omaha, NE. Which of the following is the most unbiased sample?
Sample 1
Sample 2
Sample 3
This occurs when there is a systematic pattern of inaccurate answers to a survey question
nonresponse
confounding
response bias
placebo effect
A treatment that has no active ingredient, but is otherwise like other treatments.
observational study
factor
experiment
placebo
Measusres the outcome of a study.
explanatory variable
response variable
confounding variable
factors
This deliberately imposes some treatment on individuals to measure their responses.
explanatory variable
response variable
factor
experiment
This is what happens when two variables are associated in such a way that it is not possible to distinguish between their effects on the response variable.
compounding
confounding
experiment
census
This does not try to influence the responses in a study.
experimental study
census
observational study
confounding study
When neither the subjects nor the individuals recording the response variable know which treatment a subject receives.
experimental design
single-blind design
double-blind design
census design
What does SRS stand for?
Simple Random Sample
Survey Random Samples
Simple Random Survey
Sample Random Surveys
A recent survey found that 77% of high schoolers use their phones more than 4 hours a day on average. The margin of error was 3%. What is the interval for which we could expect to find the truth of the population?
77% - 80%
74% - 77%
74% - 80%
50 million high schoolers - 120 million
Why is a sample of 1000 people better than a sample of 100 people?
It reduces the margin of error.
It decreases bias.
Having more people is always better.
More people means that our results are more accurate.
How do we reduce variability?
Increase randomness.
Increase sample size.
Decrease randomness.
Decrease sample size.
A recent survey found that out of 400 random American adults, 89% pay their bills on time. The margin of error in this survey was 2%. What is the interval of values in which the truth is likely found?
89% - 91%
87% - 89%
87% - 91%
388 - 402
point estimate +/- _____
A four company wants to know what percent of local households bake at least twice a week. A company representative calls 500 randomly selected households during the daytime.
A newspaper asks its readers to call in and answer the following question, "Are young adults unprepared for college?" What type of sample is this?
Convenience Sample
Random Sample
Voluntary Response Sample
Call in sample
What is the point estimator for the interval (-5 , 13)?
10
9.5
9
-5
