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Mrac [35]
1 year ago
8

A political candidate wanted to understand what issues were important to their voters. They asked 1,999 voters, "Which issue is

the most important: crime, city planning, or health care?" The results of the survey are shown in the two-way table below in the attachment:
What is the probability that a person chosen at random from this survey is concerned about crime, given that they are male? Round your answer to the nearest tenth.

A. 5.9%
B. 14.5%
C. 22.0%
D. 26.8%

Mathematics
2 answers:
marusya05 [52]1 year ago
7 0

This one is just some simple division, an example in the lesson is this question exact but with different numerical values. It is 14.5%, which doesn't make much sense with the context.

The answer is B, 14.5%! Feel free to ask further questions about this topic!

Alla [95]1 year ago
6 0

Answer: B. 14.5%

Step-by-step explanation:

Let M be the event of choosing a person that is male and c be the event of choosing a male who is concerned about crime.

From the given table , The number of males concerned about crime = 118

The probability of choosing a person that is male =P(C\capM)=\frac{118}{1999}

The number of males surveyed = 118+239+458=815

P(M)=\frac{815}{1999}

Now,  the probability that a person chosen at random from this survey is concerned about crime, given that they are male is given by:-

P(C|M)=\frac{P(C\capM)}{P(M)}\\\\=\frac{\frac{118}{1999}}{\frac{815}{1999}}\\\\=\frac{118}{815}=0.145\\=0.145\times100\%=14.5%

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Hello there,

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2 years ago
Automobile mechanics conduct diagnostic tests on 150 new cars of a particular make and model to determine the extent to which th
Aleks04 [339]

Answer:

99% Confidence interval: (0.185,0.375)                                                  

Step-by-step explanation:

We are given the following in the question:

Sample size, n = 150

Number of cars that have faulty catalytic converters, x = 42

\hat{p} = \dfrac{x}{n} = \dfrac{42}{150} = 0.28

99% Confidence interval:

\hat{p}\pm z_{stat}\sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}

z_{critical}\text{ at}~\alpha_{0.01} = \pm 2.58

Putting the values, we get:

0.28\pm 2.58(\sqrt{\frac{0.28(1-0.28)}{150}}) = 0.28\pm 0.095\\\\=(0.185,0.375)

The​ 99% confidence interval for the true proportion of new cars with faulty catalytic converters is​ (0.185,0.375)

8 0
2 years ago
The tread life of tires mounted on light-duty trucks follows the normal probability distribution with a population mean of 60,00
valentinak56 [21]

Answer:

0.0013

Step-by-step explanation:

To do this, we need to use a normal distribution table with Z score values, like the one I'm attaching here.

Now, the expression to calculate the Z value is the following:

Z = x - μ / (σ/√n)

Where:

μ: mean

σ: standard deviation

x: value required

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Now that we have the data, let's calculate the Z value:

Z = 66,000 - 60,000 / (4000/√4)

Z = 3

Now, let's look at the table to get the value that belongs to this Z score. According to the table, it's 0.0013

Therefore, the likelihood would be 0.0013

3 0
2 years ago
How many solutions exist for the mixed-degree system graphed below?
Likurg_2 [28]
The answer is one solution. Hope this helps
8 0
1 year ago
Read 2 more answers
There are 1,000 golden delicious and 1,000 red delicious apples in a cooler. In a random sample of 75 of the golden delicious ap
Delvig [45]

Answer:

98% confidence interval is (-0.105 , 0.265)

Step-by-step explanation:

n1 = 75          n2 = 75

X1 = 48          X2 = 42

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98% confidence interval for difference between two proportions is :

P1 - P2  <u>+</u>   Z \sqrt{P1 (1-P1)/n1  + P2 (1-P2)/n1}

= 0.08 <u>+</u> 0.185

= (-0.105 , 0.265)

98% confidence interval is (-0.105 , 0.265)

4 0
2 years ago
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