Answer:
Relationship implications
Explanation:
relationship implication is based on compatibility and understanding between two person developed over the period of time. Here Bill told Jessie shut up laughingly other person might have got offended while jessie took it healthily she has developed understanding with Bill and understand what he actually means. relationship implications enables one to read between the lines or understand the untold.
Answer: Motivated
Explanation:
Motivation is defined as the process in which a person is enthusiastic to perform any task or heading towards the goal.It stimulates the perform to do something and be interested to perform that with positivity and inspiration.
According to the question,Mr. Hegy's student will behave in a motivated manner towards the learning lesson session which is planned by Mr. Hegy as he is expecting a positive review for them.
Answer: Racoons love environments where there is woodland. They enjoy staying in farmlands, urban areas, especially where people built houses
Explanation:
Racoons love environments where there is woodland. They enjoy staying in farmlands, urban areas, especially where people built houses. It's noticed that Racoons are very adaptable. They can adjust to various environment as long as it's an open area with moist woodland. This was what made the scientist come to the conclusion of why they leave where people build
Answer:Greece
Explanation:
I believe the answer is greece :)
Answer:
Omar has developed an intervention to improve the relationship between parents and their preschool-aged children. To evaluate the effectiveness of his intervention, Omar video-records parents interacting with their children and has two research assistants score the level of warmth in each interaction. Omar then compares the two sets of scores to examine <u>interrater
</u> reliability. He finds a high positive correlation of <u>r = .87</u>
between the two raters’ scores. If the observers were rating a categorical variable, Omar could have also looked at the <u>kappa</u> statistic.
Explanation: