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AnnyKZ [126]
3 years ago
14

Are the two triangles similar to one another? * 1 point

Mathematics
1 answer:
zloy xaker [14]3 years ago
6 0

Answer:

yes

Step-by-step explanation:

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I want to plant 45 sunflower plants and 81 rose plants in my garden. If I put the same number of plants in each row and each row
Minchanka [31]

Answer:

Rose plants has the greatest number of plants that can be put in one row that is 27

Step-by-step explanation:

If you wanted to plant 45 sunflowers and 81 rose plants in your garden you have to see which one has more and you get rose plants.all you have to do is subtract 1 from 81 and then put it with sunflowers.

3 0
4 years ago
The average production cost for major movies is 57 million dollars and the standard deviation is 22 million dollars. Assume the
Degger [83]

Using the normal distribution, we have that:

  • The distribution of X is X \approx (57,22).
  • The distribution of \mathbf{\bar{X}} is \bar{X} \approx (57, 5.3358).
  • 0.0597 = 5.97% probability that a single movie production cost is between 55 and 58 million dollars.
  • 0.2233 = 22.33% probability that the average production cost of 17 movies is between 55 and 58 million dollars. Since the sample size is less than 30, assumption of normality is necessary.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

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

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.
  • By the Central Limit Theorem, the sampling distribution of sample means of size n has standard deviation s = \frac{\sigma}{\sqrt{n}}.

In this problem, the parameters are given as follows:

\mu = 57, \sigma = 22, n = 17, s = \frac{22}{\sqrt{17}} = 5.3358

Hence:

  • The distribution of X is X \approx (57,22).
  • The distribution of \mathbf{\bar{X}} is \bar{X} \approx (57, 5.3358).

The probabilities are the <u>p-value of Z when X = 58 subtracted by the p-value of Z when X = 55</u>, hence, for a single movie:

X = 58:

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

Z = \frac{58 - 57}{22}

Z = 0.05.

Z = 0.05 has a p-value of 0.5199.

X = 55:

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

Z = \frac{55 - 57}{22}

Z = -0.1.

Z = -0.1 has a p-value of 0.4602.

0.5199 - 0.4602 = 0.0597 = 5.97% probability that a single movie production cost is between 55 and 58 million dollars.

For the sample of 17 movies, we have that:

X = 58:

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

Z = \frac{58 - 57}{5.3358}

Z = 0.19.

Z = 0.19 has a p-value of 0.5753.

X = 55:

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

Z = \frac{55 - 57}{5.3358}

Z = -0.38.

Z = -0.38 has a p-value of 0.3520.

0.5753 - 0.3520 = 0.2233 = 22.33% probability that the average production cost of 17 movies is between 55 and 58 million dollars. Since the sample size is less than 30, assumption of normality is necessary.

More can be learned about the normal distribution at brainly.com/question/4079902

#SPJ1

8 0
2 years ago
Use the slope intercept form to write an equation
postnew [5]
Given:

Slope = -3/5

y - intercept = (0 , 5)

The answer is y = -3/5 + 5

Note:

The x = 0 and the y = 5 . We are looking for y- intercept so we use 5 instead of 0. 

Since the formula for slope intercept form is y = mx + b, we use option number 4 as our equation. for option number 1, it did not include the negative sign that was given in the slope so we opt to choose option 1. 

3 0
3 years ago
Read 2 more answers
Can someone help me with 3
attashe74 [19]

Area = Length x Width

72 = Length x 6

Length = 12

5 0
3 years ago
1.1
solniwko [45]

Answer:

Cost = 112.266 cent/km

Step-by-step explanation:

Given

Unit\ cost = R17.82/litre

Rate = 6.3litre/100km

Required

The fuel cost in cent\ per\ km

This is calculated using:

Cost = Unit\ cost * Rate

Cost = R17.82/litre * 6.3litre/100km

Cost = R17.82 * 6.3/100km

Cost = R1.12266/km

Multiply by 100 to get the cost in cents

Cost = 1.12266 * 100 cent/km

Cost = 112.266 cent/km

6 0
3 years ago
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