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Darina [25.2K]
4 years ago
12

Which equations are true identities ​

Mathematics
1 answer:
galben [10]4 years ago
4 0

Answer:

C

Step-by-step explanation:

Both A and B are true identities.

See attachment.

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Find the measure of the complement of an angle that measures 64°.
ioda

Complementary angles sum to 90°

the complement of 64° = 90° - 64° = 26°


8 0
3 years ago
Which of the following can be used to appropriately measure the weight of a car<br>​
OverLord2011 [107]

Ton is the answer.

Hope it helps!

7 0
2 years ago
So, I undestood slope right. But, I get confused with the other points that intersect there is multiple of them. How do i look f
ivanzaharov [21]

Answer:

slope = 2

Step-by-step explanation:

Find 2 points on the line that land perfectly on the grid. I'll choose these 2 here:

(-2, -1) and (0, 3)

Rise is the change in the y value from one point to the other, and run is the change in the x. Looking at these 2 points, y went from -1 to 3. That is a <em>rise</em> of 4. The x went from -2 to 0, so that is a <em>run</em> of 2. "rise over run" means rise literally over run in a fraction like this:

m=\frac{rise}{run}

The more proper way to calculate slope looks like this, but it's really the same thing in the end:

m=\frac{y2-y1}{x2-x1}

where (x1, y1) and (x2, y2) are your 2 points.

Finally, the slope of this line is:

m=\frac{3--1}{0--2}\\\\m=\frac{4}{2}\\\\m=2

That's a rise of 4 over a run of 2, and that simplifies to just a slope of 2.

8 0
3 years ago
Hanna dose push ups in set of 3.She did 10 sets of push ups today.Then her coach asked her to do 15 more push ups.How many push
Travka [436]
45 because 1set equals 3 push ups and she did ten sets so 10sets equal 30 push ups and then her coach asked her to do 15 more so 30 plus 15 equals 45 so she did 45 push ups that day!
8 0
3 years ago
Read 2 more answers
For the hypothesis test H0: μ = 10 against H1: μ &gt;10 and variance known, calculate the Pvalue for each of the following test
Basile [38]

Answer:

a) p_v =P(Z>2.05)=1-P(z

b) p_v =P(Z>-1.84)=1-P(z

c) p_v =P(Z>0.4)=1-P(z

Step-by-step explanation:

Some previous concepts

The p-value is the probability of obtaining the observed results of a test, assuming that the null hypothesis is correct.

A z-test for one mean "is a hypothesis test that attempts to make a claim about the population mean(μ)".

The null hypothesis attempts "to show that no variation exists between variables or that a single variable is no different than its mean"

The alternative hypothesis "is the hypothesis used in hypothesis testing that is contrary to the null hypothesis"

Hypothesis

Null hypothesis: \mu=10

Alternative hypothesis: \mu >10

If the random variable is distributed like this: X \sim N(\mu,\sigma)

We assume that the variance is known so the correct test to apply here is the z test to compare means, the statistic is given by the following formula:

z_o=\frac{\bar X -\mu}{\sigma}

Since we have the values for the statistic already calculated we can calculate the p value using the following formulas:

Part a

p_v =P(Z>2.05)=1-P(z

And in order to find the answer using excel we can use the following code:

"=1-NORM.DIST(2.05,0,1,TRUE)"

Part b

p_v =P(Z>-1.84)=1-P(z

And in order to find the answer using excel we can use the following code:

"=1-NORM.DIST(-1.84,0,1,TRUE)"

Part c

p_v =P(Z>0.4)=1-P(z

And in order to find the answer using excel we can use the following code:

"=1-NORM.DIST(0.4,0,1,TRUE)"

Conclusions

If we use a reference value for the significance, let's say \alpha=0.05. For part a the p_v so then we can reject the null hypothesis at this significance level.

For part b the p_v>\alpha so then we FAIL to reject the null hypothesis at this significance level.

For part c the p_v>\alpha so again we FAIL to reject the null hypothesis at this significance level.

3 0
3 years ago
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