1answer.
Ask question
Login Signup
Ask question
All categories
  • English
  • Mathematics
  • Social Studies
  • Business
  • History
  • Health
  • Geography
  • Biology
  • Physics
  • Chemistry
  • Computers and Technology
  • Arts
  • World Languages
  • Spanish
  • French
  • German
  • Advanced Placement (AP)
  • SAT
  • Medicine
  • Law
  • Engineering
fenix001 [56]
3 years ago
11

An observational study determined that there is a strong correlation between eating breakfast and weight loss. Can it be determi

ned that eating breakfast causes weight loss? Explain.
Causation cannot be proven because everyone eats breakfast.
Causation cannot be proven because weight loss can occur for other reasons, such as exercise and eating healthy.
Causation can be proven because it is well known that eating breakfast causes weight loss.
Causation can be proven because an experiment was used to prove this hypothesis.
Mathematics
1 answer:
mylen [45]3 years ago
7 0

A common misconception in statistics is confusing correlation with causation. If two events are correlated, it merely means that they share the same behaviour over time, but it doesn't imply in any way that those event are related by a common cause, or even worse, that one implies the other.

You can find several (even humorous) counter examples online. For example, if you plot the number of reported pirates assault against the global temperature in the last years, you'll se that temperature is rising (unfortunately...) while pirates are almost disappearing.

One could observe this strong negative correlation and claim that hotter climate has solved the pirate issue. Of course this is a joke, but it explains why you shouldn't confuse correlation with causation.

You might be interested in
Create an equivalent expression that includes a set of parentheses that make the value of the expression 5. Remember, you can ha
Naily [24]
Answer: the Answer is 33
8 0
3 years ago
Pythagorean theorem to find the length of the hypotenuse in the triangle 16 30
pishuonlain [190]

Answer:

the answer is 34.

Step-by-step explanation:

3 0
3 years ago
Who was the first president of united state
STatiana [176]
George Washington
...............
7 0
3 years ago
Read 2 more answers
If you are solving y 2+2y=48 by completing the square, the next line would be
snow_tiger [21]

For this case we have the following equation:

y ^ 2 + 2y = 48

By completing squares we have:

Step 1:

Add (\frac {b} {2}) ^ 2 on both sides:

y ^ 2 + 2y + 1 = 48 + 1

Step 2:

We rewrite the equation:

(y + 1) ^ 2 = 49

Step 3:

We solve the equation:

y = \pm \sqrt {49} -1\\y = \pm7-1

Solutions:

y = 6\\y = -8

Answer:

the next line would be:

y ^ 2 + 2y + 1 = 48 + 1


6 0
3 years ago
Read 2 more answers
2. The quality assurance department inspects its production line. The product either fails or passes the inspection. Past experi
Oksana_A [137]

Answer:

(a) E(X) = 950

(b) $ COV = 0.007255$

(c) P(X > 980) = 0.00001\\\\

Step-by-step explanation:

The given problem can be solved using binomial distribution since the product either fails or passes, the probability of failure or success is fixed and there are n repeated trials.

probability of failure = q = 0.05

probability of success = p = 1 - 0.05 = 0.95

number of trials = n = 1000

(a) What is the expected number of non-defective units?

The expected number of non-defective units is given by

E(X) = n \times p \\\\E(X) = 1000 \times 0.95 \\\\E(X) = 950

(b) what is the COV of the number of non-defective units?

The coefficient of variance is given by

$ COV = \frac{\sigma}{E(X)} $

Where the standard deviation is given by

\sigma = \sqrt{n \times p\times q} \\\\\sigma = \sqrt{1000 \times 0.95\times 0.05} \\\\\sigma = 6.892

So the coefficient of variance is

$ COV = \frac{6.892}{950} $

$ COV = 0.007255$

(c) What is the probability of having more than 980 non-defective units?

We can use the Normal distribution as an approximation to the Binomial distribution since n is quite large and so is p.

P(X > 980) = 1 - P(X < 980)\\\\P(X > 980) = 1 - P(Z < \frac{x - \mu}{\sigma} )\\\\

We need to consider the continuity correction factor whenever we use continuous probability distribution (Normal distribution) to approximate discrete probability distribution (Binomial distribution).

P(X > 980)  = 1 - P(Z < \frac{979.5 - 950}{6.892} )\\\\P(X > 980)  = 1 - P(Z < \frac{29.5}{6.892} )\\\\P(X > 980)  = 1 - P(Z < 4.28)\\\\

The z-score corresponding to 4.28 is 0.99999

P(X > 980) = 1 - 0.99999\\\\P(X > 980) = 0.00001\\\\

So it means that it is very unlikely that there will be more than 980 non-defective units.

8 0
4 years ago
Other questions:
  • 1: Plot the graph of the equation 2x-3y=6 and 2x+y=-10 and intercept the result.
    9·1 answer
  • Which of the following ordered pairs is a solution to the equation 2x+6y=−6 ?
    5·1 answer
  • Sasha is making a quilt. Her pattern requires that 1/4 of the pieces of cloth be green. She has 188 pieces of green cloth. If sh
    5·1 answer
  • A sample of size 45 will be drawn from a population with mean 53 and standard deviation 11. Use the TI-84 Plus calculator. (a) I
    14·1 answer
  • What is the x-intercept of the graph of 3x + 12 = -6?
    9·1 answer
  • Which solution makes the equation true <br><br>6d=8(12-6)​
    12·1 answer
  • A developer has 7 1/2 acres of land to build houses on. If each house is to be built on -1/4 acre plot, how many houses can he b
    5·1 answer
  • 10 0 POINTS !!<br><br><br> PLEASE HELP !! ILL GIVE BRAINLIEST TO THE RIGHT ANSWERS.
    12·1 answer
  • Can someone help me figure out how far away from the vertex the directrix is?
    7·1 answer
  • Solve the equation. Check the solution. Use a graphing calculator. Select the correct choice and fill in any answer boxes in you
    5·1 answer
Add answer
Login
Not registered? Fast signup
Signup
Login Signup
Ask question!