How is Probability Applied in Newspaper Reading Time Statistics?

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Discussion Overview

The discussion revolves around the application of probability in analyzing newspaper reading time statistics, specifically focusing on a normal distribution model. Participants explore various probability calculations related to reading times, including finding probabilities for specific time intervals and determining z-scores.

Discussion Character

  • Mathematical reasoning
  • Technical explanation
  • Homework-related

Main Points Raised

  • One participant states that the time spent reading newspapers can be approximated by a normal distribution with a mean of 15 minutes and a standard deviation of 3 minutes.
  • Another participant suggests converting the reading time of 18 minutes into a z-score to find the area under the standard normal curve.
  • Multiple participants calculate the z-score for 18 minutes as 1.0 and reference the area to the left of this z-score as 0.8413.
  • There is a discussion about finding the area to the right of the z-score, with participants noting that the total area under the standard normal curve is 1.
  • One participant proposes an equation to find the area to the right, leading to the conclusion that it is approximately 0.1587.
  • For part B, a participant provides an integral approximation to find the number of adults reading between 12 and 19.5 minutes, arriving at a result of approximately 155.
  • There is a request for ideas regarding part C, which involves determining the shortest reading time that places an adult in the top 10% of readers.

Areas of Agreement / Disagreement

Participants generally agree on the calculations for parts A and B, but part C remains unresolved as no specific solutions or approaches have been discussed yet.

Contextual Notes

Some calculations depend on the assumptions of the normal distribution and the accuracy of the z-score table used. The integral for part B is presented without detailed steps, leaving some mathematical aspects unresolved.

Who May Find This Useful

This discussion may be useful for students or individuals interested in probability theory, statistics, and their applications in real-world scenarios, particularly in understanding normal distributions and z-scores.

tcardwe3
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The time spent in minutes in reading newspapers for an adult per day can be approximated by a normal distribution with a mean of 15 minutes and a standard deviation of 3 minutes.
A-Find the probability that the reading time per day for a randomly selected adult is more than 18 minutes
B-If 200 adults are randomly selected, approximately how many of them will spend in reading newspaper per day between 12-19.5 minutes?
C-What is the shortest time spent in reading newspapers for an adult per day that would still place him in the top 10%?
 
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With the given data measured in minutes, we are given:

$$\mu=15$$ and $$\sigma=3$$

Now, in order to use the actual data values, we need to standardize them, or convert them into $z$-scores.

a) Can you convert 18 to a $z$-score, and then use your table to find the area under the standard normal curve to the right of this $z$-score?
 
I got 1 for the z score
18-15/3=1.0
and that's .8413 on my z score graph in my book
 
tcardwe3 said:
I got 1 for the z score
18-15/3=1.0
and that's .8413 on my z score graph in my book

That's the area to the left of $z=1$, so what is the area to the right?
 
MarkFL said:
That's the area to the left of $z=1$, so what is the area to the right?

Ummm...I don't see it
 
tcardwe3 said:
Ummm...I don't see it

For any given $z$-score, what is the sum of the area to the left and the area to the right, that is, what is the total area under the standard normal curve?
 
MarkFL said:
For any given $z$-score, what is the sum of the area to the left and the area to the right, that is, what is the total area under the standard normal curve?

Okay, so I got .8413 for A and 155 for B
Am I on the right track?
 
tcardwe3 said:
Okay, so I got .8413 for A and 155 for B
Am I on the right track?

Part A says, "Find the probability that the reading time per day for a randomly selected adult is more than 18 minutes."

You have found the area to the left of $z=1$ so you have found the probability that the reading time per day for a randomly selected adult is less than 18 minutes.

If the total area under the standard normal curve is 1, and the area to the left is 0.8413, then what is the area to the right? It may help to let the unknown area be $A$, and state what we know as an equation, and then solve for $A$:

$$0.8413+A=1$$

Now, solve for $A$...what do you get?
 
MarkFL said:
Part A says, "Find the probability that the reading time per day for a randomly selected adult is more than 18 minutes."

You have found the area to the left of $z=1$ so you have found the probability that the reading time per day for a randomly selected adult is less than 18 minutes.

If the total area under the standard normal curve is 1, and the area to the left is 0.8413, then what is the area to the right? It may help to let the unknown area be $A$, and state what we know as an equation, and then solve for $A$:

$$0.8413+A=1$$

Now, solve for $A$...what do you get?

You get .1587
 
  • #10
tcardwe3 said:
You get .1587

Correct good!

For B I get:

$$N=\frac{200}{3\sqrt{2\pi}}\int_{12}^{19.5} e^{-\frac{(x-15)^2}{18}}\,dx\approx155$$

This agrees with your result. (Yes)

Do you have any ideas for part C?
 

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