A TV show host asks his viewers to visit his website and respond to an online poll

Video Transcript

Hello. The first question says Dad, It is number five for Principal order desserts and wants to check some of them to make sure they were printed properly. She randomly selects two out of the tin box office and it checks every shirt in those two boxes. So I have to say what kind of sample is this? So here it is, given that two out of 10 boxes of shard and checks every shirt in those two boxes I have to find type of symbol, sample type of sample. So it is simple random sample because see randomly randomly it is random fragments. She just choose or select randomly select two of the 10 boxes of short and check every shirt in those two boxes. Every shot in those two boxes. So the answer will be simple random sample that means our option. Mm hmm option is correct. And according to the second question that is question number six, a tv show host asked his viewer to visit his website and respond to an online poll. Okay, so here it is given. I said a statement and what was the statement that a Tv show host? Ask his we were to visit his website and respond to an online poll. I have to find what kind of sample is it sample. So basically he's saying to visit the website and responding to our online poll. So it is voluntary voluntary response because if I am responding to some online poured segments, it is responsive response sample because tv show who is hosting, He or she is requesting put out request for a member who's watching this. So request for members to join the sample drawing sample and people decide whether or not to be in the sample. Mm hmm. People decide whether or not to be in the sample. So among a BNC, it is not matching any option. That means our option D option. The none of this is correct answer. So this is the explanation of the question of this is clear to you.

• to answer, need to collect data with variability

the state or relation of being correlated; specifically : a relation existing between phenomena or things or between mathematical or statistical variables which tend to vary, be associated, or occur together in a way not expected on the basis of chance alone

the relation between a cause and its effect or between regularly correlated events or phenomena

In a statistical study, sampling methods refer to how we select members from the population to be in the study.If a sample isn't randomly selected, it will probably be biased in some way and the data may not be representative of the population.There are many ways to select a sample—some good and some bad.

Convenience sample: The researcher chooses a sample that is readily available in some non-random way.

Example—A researcher polls people as they walk by on the street.

Why it's probably biased: The location and time of day and other factors may produce a biased sample of people.

Voluntary response sample: The researcher puts out a request for members of a population to join the sample, and people decide whether or not to be in the sample.

Example—A TV show host asks his viewers to visit his website and respond to an online poll.

Why it's probably biased: People who take the time to respond tend to have similarly strong opinions compared to the rest of the population.

Simple random sample: Every member and set of members has an equal chance of being included in the sample. Technology, random number generators, or some other sort of chance process is needed to get a simple random sample.

Example—A teachers puts students' names in a hat and chooses without looking to get a sample of students.

Why it's good: Random samples are usually fairly representative since they don't favor certain members.

Stratified random sample: The population is first split into groups. The overall sample consists of some members from every group. The members from each group are chosen randomly.

Example—A student council surveys 100 students by getting random samples of 25 freshmen, 25 sophomores, 25 juniors, and 25 seniors.

Why it's good: A stratified sample guarantees that members from each group will be represented in the sample, so this sampling method is good when we want some members from every group.

Cluster random sample: The population is first split into groups. The overall sample consists of every member from some of the groups. The groups are selected at random.

Example—An airline company wants to survey its customers one day, so they randomly select 5 flights that day and survey every passenger on those flights.

Why it's good: A cluster sample gets every member from some of the groups, so it's good when each group reflects the population as a whole.

Systematic random sample: Members of the population are put in some order. A starting point is selected at random, and every

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Example—A principal takes an alphabetized list of student names and picks a random starting point. Every

20th 20^{\text{th}}

Note: In the real world, we can't ethically take a random sample of people and make them participate in a study involving drugs, however, there are more advanced methods for controlling for this type of selection bias. When we rely on volunteers for testing new drugs and we see significant results, we need to be willing to assume that the volunteers are representative of the larger population. We can also repeat the study on a different group of volunteers to see if we get the same results.

Key idea: If a sample isn't randomly selected, it may not be representative of the larger population. On the AP test, be ready to apply this concept and some nuance when it comes to discussing if a sample is representative of the larger population.

The table below summarizes what type of conclusions we can make based on the study design.

What are the 4 types of random sampling?

What is probability sampling example?

What kind of sampling technique requires that you can get a list of all the individuals in the population?

What sampling technique will you use?