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shusha [124]
3 years ago
15

Questions linked below

Mathematics
1 answer:
marusya05 [52]3 years ago
5 0

Answer:

The blur of the photo I do not understand sorry

Step-by-step explanation:

ty for the points

You might be interested in
Does the graph shown below represent y as a linear function of x?
marshall27 [118]

Answer: No, it is not a linear function

Explanation:

We can see that it's a function because it passes the vertical line test, but it's not linear. To be linear, it needs to be one single straight line only (instead of composed of multiple pieces of different straight lines). This graph is considered a piecewise function.

So if your teacher asked "is this a function?" then the answer would be "yes". However, the "linear" portion is what makes the final answer "no".

5 0
3 years ago
What is the volume of the regular pyramid below?
erastovalidia [21]
Answer:
volume of regular pyramid = 3388 units³

Explanation:
Volume of regular pyramid can be calculated using the following rule:
volume of regular pyramid = \frac{1}{3} * area of base * height
volume of regular pyramid = \frac{1}{3} * length * width * height

Based on the comment you added above, we have:
length = 11 units
width = 11 units
height = 84 units

Substitute with the givens in the above equation to get the volume as follows:
volume = \frac{1}{3} * 11 * 11 * 84
volume = 3388 units³

Hope this helps :)
6 0
3 years ago
Explain type i error and give an example. explain type ii error and give an example. what is the best way to reduce both kinds o
Leviafan [203]

Type I error says that we suppose that the null hypothesis exists rejected when in reality the null hypothesis was actually true.

Type II error says that we suppose that the null hypothesis exists taken when in fact the null hypothesis stood actually false.

<h3>What is Type I error and Type II error?</h3>

In statistics, a Type I error exists as a false positive conclusion, while a Type II error exists as a false negative conclusion.

Making a statistical conclusion still applies uncertainties, so the risks of creating these errors exist unavoidable in hypothesis testing.

The probability of creating a Type I error exists at the significance level, or alpha (α), while the probability of making a Type II error exists at beta (β). These risks can be minimized through careful planning in your analysis design.

Examples of Type I and Type II error

  • Type I error (false positive): the testing effect says you have coronavirus, but you actually don’t.
  • Type II error (false negative): the test outcome says you don’t have coronavirus, but you actually do.

To learn more about Type I and Type II error refer to:

brainly.com/question/17111420

#SPJ4

7 0
1 year ago
Four friends all use $10 off coupons to buy themselves concert tickets.
eimsori [14]

Answer:

$64

Step-by-step explanation:

Since there were 4 of them and the coupons were $10 off, they saved a total of $40

To find how much they would have spent without the coupons, add 40 to 216:

216 + 40

= 256

To find the normal cost of one ticket, divide this by 4:

256/4

= 64

So, the price of one concert ticket without the coupon is $64

5 0
3 years ago
Heeeeeelp please !!!!!!!!
Harlamova29_29 [7]
4440/10 Is the answer
6 0
3 years ago
Read 2 more answers
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