All of the following guidelines are important for a healthy fat intake except: Fats should comprise 45% of your daily caloric intake.
- Adults should consume between 20 and 35 percent of their entire daily calorie intake as fat and not 45%.
- If one consumes 2,000 calories a day, that equates to 44 to 77 grams of fat.
- Some types of fats are encouraged because they have positive health effects. Due to the detrimental effects on health, it is advised to consume fewer other forms of fats:
- Monounsaturated fatty acids: 15% to 20%
- Polyunsaturated fatty acids: 5-10%
- Saturated fats: less than 10%
- Trans fats: 0%
hence, trans fats should be totally cut from the diet, good fats such as olive oil are monosaturated fatty acids and should be consumed more. A little fat i.e., 44-77 grams should be included with each meal to provide satiety.
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Answer: A) a nucleus
Explanation: The largest amount of DNA in a plant cell is contained in a nucleus.
Answer:
The smooth muscle is made up of a group of spindle-shaped cells, they do not have transverse striations, they are also known as non-wills and they will be found in the esophagus, intestine, stomach, uterus, blood vessels.
Collagen fibers are protein molecules that form fibers produced by connective tissue cells. They are found in 25% forming the skin and bones.
Answer: a. Seasonal pattern
Explanation:
Seasonal pattern or seasonal affective disorder is a kind of depression which affects the patient at a particular season and goes when the season ends. It typically starts from late fall and months of early winter. It goes away in springs and summer.
Hence, Petyr experiences symptoms of seasonal pattern depression.
Answer: C. A researcher may claim that one variable causes another to occur if test results are significant.
Explanation:
Correlation analysis is not meant to show causation between variables but merely to find out if there is a relationship.
While there is a chance of one variable causing another if they are correlated, it is not always the case as there might be another unforeseen variable.
Even if results are significant, a researcher should never claim that one variable can cause another from correlation analysis.
