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Ulleksa [173]
3 years ago
14

The conditional relative frequency table was calculated by row using data from a survey of one station’s television programming.

The survey compared the target audience with the type of show, either live or recorded, over a 24-hour time period.
Which is the best description of the value 0.375 in the table?

Given that the program was targeted at adults, there is a 37.5% chance that it was recorded.
Given that the program was recorded, there is a 37.5% chance that it was targeted at adults.
37.5% of the programs are targeted at adults.
37.5% of the programs are recorded.

Mathematics
2 answers:
Crazy boy [7]3 years ago
7 0

Answer:

Given that the program was targeted at adults, there is a 37.5% chance that it was recorded.

Step-by-step explanation:

The best description is that:

It was given that the program was targeted so there is a 37.5% chance that it was recorded.

Since the value 0.375 is obtained when the frequency of the targeted adults  with the recorded show were divided  by the total frequency of the adults.

Hence, we represent this obtained frequency in percentage as:

0.375×100=37.5%

i.e.

Let A denote the event that the targeted audience was adult

and B denote the event that the show is recorded.

Let P denote the probability of an event.

So, we have:

P(B|A)=\dfrac{P(A\bigcap B)}{P(A)}=0.375=37.5\%

masya89 [10]3 years ago
6 0

<u>Answer-</u>

<em>The correct option would be-</em>

<em>Given that the program was targeted at adults, there is a 37.5% chance that it was recorded.</em>

<u>Solution-</u>

We know that, probability of A given that B is,

P(A|B)=\dfrac{P(A\ \cup\ B)}{P(B)}

From the table,

P(\text{Recorded})=0.417\\\\P(\text{Adult}) = 1\\\\P(\text{Recorded}\ |\ \text{Adult})=0.375

<u>Probability that the program was recorded given that the targeted audiences were adults is,</u>

P(\text{Recorded}\ |\ \text{Adult})=\dfrac{P(\text{Recorded}\ \cup\ \text{Adult})}{P(\text{Adult})}

\dfrac{0.375}{1}=0.375=37.5\%

<u>Probability that the targeted audiences were adults given that the program was recorded is,</u>

P(\text{Adult}\ |\ \text{Recorded})=\dfrac{P(\text{Adult}\ \cup\ \text{Recorded})}{P(\text{Recorded})}

\dfrac{0.375}{0.417}=0.899=89.9\%

Therefore, the first option "Given that the program was targeted at adults, there is a 37.5% chance that it was recorded." is correct

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A coffee machine dispenses normally distributed amounts of coffee with a mean of 12 ounces and a standard deviation of 0.2 ounce
NemiM [27]

Answer:

0.9332 = 93.32% probability that the mean of the sample will be less than 12.1 ounces.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean of 12 ounces and a standard deviation of 0.2 ounces.

This means that \mu = 12, \sigma = 0.2

Sample of 9:

This means that n = 9, s = \frac{0.2}{\sqrt{9}}

Find the probability that the mean of the sample will be less than 12.1 ounces.

This is the pvalue of Z when X = 12.1. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{12.1 - 12}{\frac{0.2}{\sqrt{9}}}

Z = 1.5

Z = 1.5 has a pvalue of 0.9332

0.9332 = 93.32% probability that the mean of the sample will be less than 12.1 ounces.

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Step-by-step explanation:

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mestny [16]

Answer:

log_8{24} = 1.53

Step-by-step explanation:

Given

log_8{24}

Required

Solve:

Apply the following law of logarithm:

log_a{b} = \frac{log\ b}{log\ a}

So, we have:

log_8{24} = \frac{log\ 24}{log\ 8}

Using calculator, we have:

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8 0
4 years ago
Read 2 more answers
Part 1:
Delicious77 [7]

Based on the triangle sum theorem and the triangle inequality theorem:

1. B. 23°, 67°, 90°.

2. A. 1 cm, 2 cm, 3 cm.

<h3>What is the Triangle Sum Theorem?</h3>

According to the triangle sum theorem, all three interior angles of any triangle has a sum of 180 degrees.

What is the Triangle Inequality Theorem?

Based on the triangle inequality theorem, one side of a triangle must be less than or equals the sum of any other two sides of the triangle. (a + b ≥ c).

Part 1:

23° + 67° + 90° = 180°, therefore, based on the triangle sum theorem, the set of angle measures that could be the interior angles of a triangle is: B. 23°, 67°, 90°.

Part 2:

1 + 2 = 3

1 + 3 > 2

2 + 3 > 1

Therefore, based on the triangle inequality theorem, the set of side lengths that could be that of the sides of a triangle is: A. 1 cm, 2 cm, 3 cm.

Learn more about the triangle sum theorem on:

brainly.com/question/7696843

#SPJ1

6 0
3 years ago
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