Answer:
Explanation:
Hello!
The research hypothesis is that "The new advertisement increases the likelihood of people buying the new mechanical toy dogs"
The new campaign is designed to be persuasive to people with a certain personality profile.
To test her hypothesis, the doctor choose 4 groups of participants and asked them whether they were interested in acquiring the toy before and after watching the advertisement.
The clear limitation in this trial is the failure of taking a representative sample. There are several confounding factors not taken into account, such as social status of the participants (if they can or cannot afford the toy), family status (people with children are more likely to buy toys than childless adults).
It is possible that the people assigned to each group had different propensity for acquiring the toys and that these groups were unbalanced, producing bias in the conclusions extracted from this trial.
I hope this helps!
Answer:
C.A state university
Explanation:
The term open university usually refers to a university with an open-door academic policy, i.e. no entry requirements. That is why open universities are usually ”open” to all students. The initial thought behind open universities was to make higher education accessible for everyone.
Pretty sure the answer is D:<span>A 50 percent reduction the crude birth rate
A: That is a double negative and doesn't really help anyone.
B: Marriage has nothing to do with that, neither would a reduce in it necessarily be a good thing.
C: Again this isn't something that really matters, they wouldn't fund something just to loose twice what they gave away in the first place.
That is my reasoning. Good luck! Have an awesome day.
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Firstly, many statistics are taken from a small group of people used to represent the general population. Say a news channel reported that 81% of teenagers in America were planning on going to a four-year college. This statistic is most likely taken from a randomly selected group of teenagers, and calculated with a margin of error. Because after all, it's nearly impossible to survey every single teenager in America. This can lead to some statistics that are not really representative of the actual percentage of people. This only gets more likely the larger the general population being "surveyed" is. Another reason is that the media is not always truthful with statistics. Things can be altered and not many people will notice. Hope this helps!
