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melamori03 [73]
3 years ago
13

PLS HELP ME IM.BAD AT THIS

Mathematics
1 answer:
igor_vitrenko [27]3 years ago
4 0

Answer:28.8

Step-by-step explanation:

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What is the slope of the line??
Semmy [17]

Answer:

sorry for being late  :/

Step-by-step explanation:

slope , m = 1/3  

3 0
3 years ago
If you could explain and answer I’d appreciate
Cerrena [4.2K]

Answer:

-10

Step-by-step explanation:

5 is lower than 15 so the answer must be negative

if 15 minus 5 is 10

then 5 minus 15 has to be 10

4 0
4 years ago
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What is the solution to the equation 0.8m − 4 = −0.8m?
lidiya [134]

Answer:

m = 2.5

Step-by-step explanation:

Add 0.8 m to both sides, obtaining 0.8m + 0.8m - 4, or 1.6m - 4 = 0.

Now add 4 to both sides.  Result:  1.6m = 4, and m = 4/1.6 = 2.5 = m

8 0
3 years ago
Hazel and 4 of her friends bought tickets for a baseball game. They received a $30 group discount. If the total cost was under $
tresset_1 [31]

Answer:

The Goonies sold 785 concert tickets for a total of $17,650. If good tickets cost $40 and cheap tickets cost $15, how many of each type of ticket did they sell?

Step-by-step explanation:

6 0
2 years ago
A sample of 900900 computer chips revealed that 49%49% of the chips do not fail in the first 10001000 hours of their use. The co
dedylja [7]

Answer:

The proportion of chips that do not fail in the first 1000 hours of their use is 52%.

Step-by-step explanation:

The claim made by the company is that 52% of the chips do not fail in the first 1000 hours of their use.

A quality control manager wants to test the claim.

A one-proportion <em>z</em>-test can be used to determine whether the proportion of chips do not fail in the first 1000 hours of their use is 52% or not.

The hypothesis can be defined as:

<em>H₀</em>: The proportion of chips do not fail in the first 1000 hours of their use is 52%, i.e. <em>p</em> = 0.52.

<em>Hₐ</em>: The proportion of chips do not fail in the first 1000 hours of their use is different from 52%, i.e. <em>p</em> ≠ 0.52.

The information provided is:

\hat p=0.49\\n=900\\\alpha =0.02

The test statistic value is:

z=\frac{\hat p-p}{\sqrt{\frac{p(1-p)}{n}}}=\frac{0.49-0.52}{\sqrt{\frac{0.52(1-0.52)}{900}}}=-1.80

The test statistic value is -1.80.

Decision rule:

If the <em>p-</em>value of the test is less than the significance level then the null hypothesis will be rejected and vice-versa.

Compute the <em>p</em>-value as follows:

p-value=2\times P(Z

*Use a <em>z</em>-table.

The <em>p</em>-value = 0.07186 > <em>α</em> = 0.02.

The null hypothesis was failed to be rejected at 2% level of significance.

<u>Conclusion</u>:

The proportion of chips that do not fail in the first 1000 hours of their use is 52%.

8 0
3 years ago
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