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Andreyy89
2 years ago
14

For Problems 21 and 22, use Figure 4.5a.

Mathematics
1 answer:
Leno4ka [110]2 years ago
5 0

Answer:

omg college math is so hard omg i feel baddddddd

Step-by-step explanation:

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At one of New York’s traffic signals, if more than 17 cars are held up at the intersection, a traffic officer will intervene and
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Scenarios B, D, and F require a police officer. In scenario B, 1:00-2:00pm, and scenario F, 5:00-6:00pm, there are 24 cars. In scenario D, 3:00-4:00pm, there are 21 cars. Both 24 and 21 are greater than 17, so a traffic officer is needed. However, in other scenarios, the number of cars are all less than 17, and no officer is needed.
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Answer:

Step-by-step explanation:

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Sharon is assessing the popularity of two fashion magazines for her blog. The number of subscribers to magazine A and the number
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<span>1) The number of subscribers to magazine A in 2000 is 5,000 more than the number of subscribers to magazine B in 2000.

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2 years ago
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Exhibit 11-2 We are interested in determining whether the variances of the sales at two music stores (A and B) are equal. A samp
Fiesta28 [93]

Answer:

Option A , should not be rejected

Step-by-step explanation:

From the question we are told that:

Sample 1 n=25

Standard deviation 1 \sigma_1=30

Sample 2 n=16

Standard deviation 2 \sigma_2=20

Level of  confidence \alpha=95\%=>0.95

Generally The Hypothesis are given as

 H_0:\sigma_1^2=\sigma_1^2

 H_1:\sigma_1^2\neq \sigma_1^2

Generally the equation for test Statistics is mathematically given by

 T=\frac{\sigma_1^2}{\sigma_2^2}

 T=\frac{30^2}{20^2}

 T=2.25

Therefore

Critical Value

 X=(\alpha,df_1)

 X'=(\alpha,df_2)

Where

 df=n-1

Therefore

 X=(0.95,24)

 X'=(0.95,15)

From Table

 T_{Critical}=T_x,T_{x'}

 T_{Critical}=0.41,2.701

Therefore

 T_x

Hence,We fail to reject the Null Hypothesis H_0

Option A , should not be rejected

3 0
1 year ago
A study was conducted on the effects of divorce. Researchers gathered data from a random sample of 5,125 adults and measured qui
shusha [124]

Answer:

We can infer a cause-and-effect relationship because multiple variables were included.

Step-by-step explanation:

The multiple attributes for the divorced ones are

1) less physically active

2) an unhealthy weight,

3) smokers.

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1) death

So when we compare the two groups married and divorced we see different variables are involved in evaluating the percentage.

This shows a cause and effect involving multiple variables.

In cause and effect one variable is dependent and the other is independent.

The cause is the independent variable and effect is the dependent variable.

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Married                         Death

Divorced                     1) less physically active

                                  2) an unhealthy weight,

                                     3) smokers.

5 0
2 years ago
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