# Solve Statistics Questions: North American TV Watching

• aikawa
In summary, the problem asks for the probability of a North American adult watching more than 7 hours of TV per day, given a normal distribution with mean 6 hours and standard deviation 1.5 hours. Using the standard normal distribution, the probability is approximately 25%.

## Homework Statement

Having problems solving some questions for Statistics class

The amount of time spent by North American adults watching TV per day is normally distributed with a mean of 6 hrs and a standard deviation of 1.5hrs.

a. What is the probability that a randomly selected North American adult watches TV for more than 7 hrs per day?

b. What is the probability that the average time watching TV by a random sample of 5 american adults is more than 7 hrs?

c. What is the probability that, in a random sample of 5 american adults, all watch TV for more than 7 hrs per day?

P(X>7)

## The Attempt at a Solution

Tried this but not sure if its correct

a. P(X>7)= (7-6/1.5)= .6667
=P(Z>.6667)= .2486
=0.5+.2486= .7486
The probablity that a randomly selected North American adult watches TV for more than 7 hrs per day is .7486%

Am i on the right path?

As for b and c I have no idea where to start.

Some advice/help would be much appreciated

For (c), think about how you could use the binomial distribution to find the probability.

For (b), i think you could define a new random variable which is the average of the 5 observations i.e. Y = (X1+X2+...+X5)/5, and then find P(Y>7), noting that the sum of normally distributed variables is also normally distributed.

Part 'b' does require you to use the distribution for $$\overline X$$.

In 'c', since you know the prob (from 'a') a single person watches for more than 7 hours per day, you're in good shape. Think about the multiplication rule now, since, for a random sample you have independence.

For part a, you ended up with an incorrect answer. Here's some help in how you can get the right answer, and present it in an understandable way.
a. P(X>7)= (7-6/1.5)= .6667
=P(Z>.6667)= .2486
=0.5+.2486= .7486
The probablity that a randomly selected North American adult watches TV for more than 7 hrs per day is .7486%
Line 1: P(X > 7) = P(Z*sigma + mu > 7) = P(Z > (7 - mu)/sigma))
= P(Z > 2/3)

The relationship between your random variable X and the standard normal distrubution variable Z is Z = (X - mu)/sigma, so the relationship the other way is X = Z*sigma + mu.

Line 2: P(Z > 2/3) = 1 - P(Z < 2/3) = 1 - .7486 = .2514.
The table you used (I'm reasonably sure that you got your values from a table) gives the probability that Z is less than a particular value; IOW, that Z is between -infinity and the given value. From the table I used, the z-value is .67, which is not quite the same as 2/3. 2/3 is between .66 and .67, so for more precise results you can interpolate the area values for .66 and .67 to get a closer result.

Last line: You show the probability as .7486%, which is smaller than 1%. There are two errors here--the number itself, and showing the decimal probability as also a percentage. The work I show above gives the probability as about .25. As a percent, this would be 25%.
This says that the probability of a North American person watching more than 7 hours of TV a day is about 25%. Another way to say this is that about 25% of North American people watch more than 7 hours of TV a day.

## What is North American TV Watching?

North American TV Watching is a statistical analysis that measures the amount of time individuals in North America spend watching television.

## Why is North American TV Watching important?

North American TV Watching provides valuable insights into television viewing habits and trends, which can be used by TV networks, advertisers, and researchers to make informed decisions.

## How is North American TV Watching data collected?

The data for North American TV Watching is collected through surveys, ratings agencies, and viewer tracking devices.

## What factors can affect North American TV Watching statistics?

Factors that can affect North American TV Watching statistics include age, gender, location, socio-economic status, and access to technology.

## How can North American TV Watching data be used?

North American TV Watching data can be used to analyze audience demographics, viewer preferences, and the effectiveness of advertising campaigns. It can also be used to make predictions and inform programming decisions.