Well you could look at their body language, like, the Goat is looking in a different direction from the camera so something has got it's attention, wether it can smell something interesting like food or it saw something like a mouse, it's up to you. The 2 boys in the picture are looking at the camera, suggesting that the person behind the camera could have said something like, "cheese" or "smile for the photo". The boy in the right looks like he might not have been too happy about the picture however the boy in the left, since he's smiling, he may be happy. Also the boy in the right has his hands together in a kind of close position which could suggest he isn't enjoying what he is doing. The only limit is your imagination. You can come up with a scenario by looking at facial expression or body language. Like if someone frowned at you and just froze. You could interpret that either they are angry at you for some reason or they could be in shock of seeing you.
Answer: A student, Amara, plans to use the survey data to create a visualization and short summary of students' plans for college. First she wants to learn more about how the data was collected. Of the following things she might learn about the survey, which are the most likely sources of bias in the results based how it was collected:
- She learns that the survey administrators only asked a representative sample of students, rather than even student in each state .
- She learns that responses were collected only by mobile app
.
- She learns the survey was available to complete in both digital and paper form
.
- She learns that the survey was only given to students with scores in the top 10% on the PSAT
.
Explanation:
Conditions for choosing the participants in surveys can affect responses. Collecting survey responses by using an app introduces inclusive bias into the survey. This is when a group is selected for convenience and is not at all a random selection. Using an app has limited the participants to people who use the app.
Asking only the students who scored highly in tests also skews the neutrality of the survey. This introduces an omission bias by excluding a majority of students.
Answer:
Star.
Explanation:
The Boston Consulting Group growth-share matrix helps a company in deciding what the company should sell,invest more or keep.There are three categories in the BCG growth-share matrix and these are as following:-
- Stars.
- Cash Cows.
- Dogs.
Stars are the products that are in the high-markets and make up a sizable portion of that market are called stars.
Cash cows are the products that are in low growth areas but the company hold a large market share for these products.
Dogs are the products that has low market share and it is having a low growth rate.
