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drek231 [11]
3 years ago
9

To test H 0​: p=0.40 that a population proportion equals 0.40​, the test statistic is a​ z-score that measures the number of sta

ndard errors between the sample proportion and the H0 value of 0.40. If z=3.8​, do the data support the null​ hypothesis, or do they give strong evidence against​ it?
(A) The data give strong evidence against the null hypothesis because the sample proportion falls over three standard errors from the null hypothesis value.
(B) The data support the null hypothesis because the sample proportion falls over three standard errors from the null hypothesis value.
(C) The data give strong evidence against the null hypothesis because the sample proportion falls within four standard errors from the null hypothesis value.
(D) The data support the null hypothesis because the sample proportion falls within four standard errors from the null hypothesis value.
Mathematics
1 answer:
S_A_V [24]3 years ago
4 0

Answer:

Step-by-step explanation:

no

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A 50 loot ladder is leaning against a building. If the base of the ladder is 35 feet from the base of the building, how far up t
Hatshy [7]

Answer:

The ladder is 35.71 feet up the building

Step-by-step explanation:

Here, we want to calculate how far up the building is the ladder placed

We should picture a right angled triangle with hypotenuse 50 and one of the other sides as 35

To find the height in this case, we proceed to use Pythagoras’ theorem which states that the square of the hypotenuse equals the sum of the squares of the two other sides

In this case, let the height be

50^2 = 35^2 + h^2

h^2 = 50^2-35^2

h^2 = (50+35)(50-35)

h^2 = (85)(15)

h^2 = 1275

h = square root of 1275

h = 35.71 ft

3 0
2 years ago
Jorge's math grade is calculated using a weighted average. Quizzes are worth 30%, homework is worth 10%, unit tests are worth 40
Fudgin [204]

By rewriting the weights in decimal form and applying them to the correspondent percentages, we will see that the final grade is 92.8%.

<h3>What is Jore's final math grade?</h3>

The final grade will be given by:

G = a₁*x₁ + a₂*x₂ + ...

Where the values "a" are the weights, and the values "x" are the averages of Jeorge.

We know that the weights are:

  • 30% on Quizzes.
  • 10% on homework
  • 40% on unit test.
  • 20% on the final exam.

Then we can write the weights in decimal form:

a₁ = 0.3

a₂ = 0.1

a₃ = 0.4

a₄ = 0.2

And the scores are:

  • 92% on quizzes.
  • 98% on homework
  • 91% on unit tests
  • 95% on final exam.

So the final math grade will be:

G = 0.3*92 + 0.1*98 + 0.4*91 + 0.2*95 = 92.8%

If you want to learn more about percentages, you can read:

brainly.com/question/843074

7 0
1 year ago
Sonja went hiking for 4 hours. For how many minutes did she go hike
pickupchik [31]
240 minutes is how many minutes she went hiking
1 hour=60 minutes so
60×4=240
6 0
3 years ago
Read 2 more answers
The breaking strength of a cable is assumed to be lognormally distributed with a mean of 75 and standard deviation of 20. • If t
son4ous [18]

Answer:

If the load of magnitude 50 is hung from the cable, determine the probability of failure of the cable?

There is a 10.56% probability of failure of the cable.

If the load can take values 30, 50, and 70 with probabilities 0.2, 0.35, and 0.45 respectively, determine the probability of failure of the cable?

There is a 15.87% probability of failure of the cable.

Step-by-step explanation:

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

The breaking strength of a cable is assumed to be lognormally distributed with a mean of 75 and standard deviation of 20. This means that \mu = 75, \sigma = 20.

If the load of magnitude 50 is hung from the cable, determine the probability of failure of the cable?

This is the pvalue of Z when X = 50.

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

Z = \frac{50 - 75}{20}

Z = -1.25

Z = -1.25 has a pvalue of 0.1056.

There is a 10.56% probability of failure of the cable.

If the load can take values 30, 50, and 70 with probabilities 0.2, 0.35, and 0.45 respectively, determine the probability of failure of the cable?

Now we have that

X = 0.2(30) + 0.35(50) + 0.45(70) = 55

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

Z = \frac{55 - 75}{20}

Z = -1

Z = -1 has a pvalue of 0.1587.

There is a 15.87% probability of failure of the cable.

3 0
3 years ago
The resting heart rates for a sample of individuals are normally distributed with a mean of 70 and a standard deviation of 15. U
Liono4ka [1.6K]

Answer:

84%

Step-by-step explanation:

The empirical rule states that 68% values are within 1 standard deviation of mean, i.e,

70

±

15

or from 55 to 85. Since normal distribution is symmetric, we must have (32%) outside this range, and 32/2=16% on the right if this range. Hence below 85 we have (100-16) % = 84%

7 0
2 years ago
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