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Question: I am doing a opended ended question. I really need help with that! STUDY It’s sweet news for diet…



I am doing a opended ended question. I really need help
with that!

STUDY

It’s sweet news for dieters: Eating chocolate may help keep
people slim, according to a study

published in the Archives of Internal Medicine.

The research found that those who ate chocolate a few

times weekly were on average thinner

than those who just ate the treat occasionally. Yes, you read
that correctly. If you’re skeptical,

know that there’s only a one in 100 chance the findings can be
explained by chance alone.

The link between chocolate an

d weight

Chocolate is loaded with calories, but scientists believe it
also contains ingredients which may

favor weight loss. The study looked at nearly 1,000 people in
the U.S. and focused on diet,

caloric intake and body mass index.

Regular chocolate cons

umption was tied to lower BMI, despite increasing calorie
intake. Even

when amount of exercise and other factors were taken into
account, the link remained.

For you chocolate lovers, it’s not so much the amount you eat,
but the frequency with which you

ind

ulge those cocoa cravings. Before you go crazy in the candy
aisle, please note the research

suggests a link. It doesn’t prove it.

Previous studies have found dark chocolate to have healthy
qualities, including the ability to

lower high blood pressure. It’s

known to be richer in antioxidants than its lighter
counterparts.

But remember: If you’re looking for a truly healthy diet, your
best bet still is one filled with

fruits and vegetables.

Question:

1: Is the article describing an experiment or a
study?

2.What is the population?

3.What is the sample? Is it a random
sample?

4.When studying the relationship between two variables,
the variable to be predicted is called the dependent or response
variable, and the variable to do the predicting is called
theindependent or explanatory variable. In this article, what is
the explanatory variable? What is the response
variable?

5.Remember, correlation does not imply causality. Both
variables in the article may be affected by some other variable
lurking in the background. What are some lurking
variables?

6.The article mentions a P-value. What is
it?

  

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