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jek_recluse [69]
3 years ago
9

What is the area of the triangle?​

Mathematics
1 answer:
Delvig [45]3 years ago
6 0

Answer: 10 units squared

Step-by-step explanation: you would multiply 4 by 5 and then you divide by two/ multiply by 1/2 and then you get an area of 10 units squared please mark me as brainliest

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A granola recipe calls for 2 1/3 cups of almonds. A bag of almonds contains 1/4 cups. How many bags will be needed for the recip
Sholpan [36]

9 I think because 1/4 needs to have 4 of those to be a whole so yeah 9.

8 0
3 years ago
Simplify the expression (2h+1)(8)
Elza [17]

Answer:

16h+8

Step-by-step explanation:

(2h+1)(8)

Multiply 8 with 2h and 1

16h+8

8 0
3 years ago
Stanley has $18 to spend on packs of trading cards that cost $1.50 each. The inequality 18≥1.5p represents the number of packs p
V125BC [204]

Answer:

Numbers of packs p is 12

Step-by-step explanation:

Data :

  Money  = $18

 Price of a  card = $1.5

 Equation     :    18 ≥ 1.5p

Solve the equation  for p

       18/1.5  ≥  p

     12 ≥ p

7 0
2 years ago
Please Graph (-2, 0.75)
kozerog [31]

Answer:

It won't allow me to put in a link for the graph but on a graph it would of course be at -2 on the x-axis, but you would go only 3/4 the way to one so it'll be right under 1 on the y-axis

Step-by-step explanation:

3 0
3 years ago
The results of a common standardized test used in psychology research is designed so that the population mean is 155 and the sta
galina1969 [7]

Answer:

The value <em>155</em> is zero standard deviations from the [population] mean, because \\ x = \mu, and therefore \\ z = 0.

Step-by-step explanation:

The key concept we need to manage here is the z-scores (or standardized values), and we can obtain a z-score using the next formula:

\\ z = \frac{x - \mu}{\sigma} [1]

Where

  • z is the <em>z-score</em>.
  • x is the <em>raw score</em>: an observation from the normally distributed data that we want <em>standardize</em> using [1].
  • \\ \mu is the <em>population mean</em>.
  • \\ \sigma is the <em>population standard deviation</em>.

Carefully looking at [1], we can interpret it as <em>the distance from the mean of a raw value in standard deviations units. </em>When the z-score is <em>negative </em>indicates that the raw score, <em>x</em>, is <em>below</em> the population mean, \\ \mu. Conversely, a <em>positive</em> z-score is telling us that <em>x</em> is <em>above</em> the population mean. A z-score is also fundamental when determining probabilities using the <em>standard normal distribution</em>.

For example, think about a z-score = 1. In this case, the raw score is, after being standardized using [1], <em>one standard deviation above</em> from the population mean. A z-score = -1 is also one standard deviation from the mean but <em>below</em> it.

These standardized values have always the same probability in the <em>standard normal distribution</em>, and this is the advantage of using it for calculating probabilities for normally distributed data.

A subject earns a score of 155. How many standard deviations from the mean is the value 155?

From the question, we know that:

  • x = 155.
  • \\ \mu = 155.
  • \\ \sigma = 50.

Having into account all the previous information, we can say that the raw score, <em>x = 155</em>, is <u><em>zero standard deviations units from the mean.</em></u> <u><em>The subject   earned a score that equals the population mean.</em></u> Then, using [1]:

\\ z = \frac{x - \mu}{\sigma}

\\ z = \frac{155 - 155}{50}

\\ z = \frac{0}{50}

\\ z = 0

As we say before, the z-score "tells us" the distance from the population mean, and in this case this value equals zero:  

\\ x = \mu

Therefore

\\ z = 0

So, the value 155 is zero standard deviations <em>from the [population] mean</em>.

5 0
4 years ago
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