This question is missing the options. I've found the complete question online. It is as follows:
Timothy, a brilliant investment banker, makes millions each year. He is not very good-looking, but he marries a beautiful, young supermodel. In the context of physical attractiveness, Timothy and his wife most likely exhibit ________ in this scenario.
A. asset matching
B. the ingratiation effect
C. the spotlight effect
D. the mere- exposure effect
Answer:
Timothy and his wife most likely exhibit A. asset matching in this scenario.
Explanation:
Asset matching is a phenomenon observed by psychologists in matching hypothesis. The matching hypothesis concerns the preference individuals display to form relationships with those who resemble them. Resemblance can come in a variety of attributes, such as age, education level, social status, ethnicity, personality traits, values, physical appearance, etc. Asset matching happens because people tend to select partners whose assets are similar to their own. Timothy and his supermodel wife are both wealthy people, which characterizes their selection of each other as asset matching. That wouldn't be the case, however, if Timothy had married a working class woman.
Answer:
1: C
2: C
3: A
4: Rolling Friction or Static Friction (See explanation)
Explanation:
It depends if the floor is slippery or its like tiles then rolling friction would be the answer however if the surface is rough its static friction.
Answer: Anti-inflammatory diet/ Mediterranean diet
People with rheumatoid arthritis suffer from inflammation and pain because of the disease. There are certain foods that are good at reducing the inflammation and that's why it should be included in the diet. That includes fruits, vegetables, whole grains, olive oil, and fish. These foods are also characteristic of a Mediterranean diet.
Answer:
Option A
Explanation:
The method of how to use data analysis to discern the attributes of an inherent probability distribution is analytical inference. Inferential statistical analysis suggests the characteristics of a community, e.g. through evaluating assumptions and deriving predictions. The observed data set is assumed to be recreated from a greater number of people.
Descriptive statistics can be compared to inferential statistics. Descriptive statistics are concerned exclusively with the characteristics of the observed data, and it is not based on the assumption that the data derive from a greater population.
