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Blababa [14]
3 years ago
12

What is the value of measure d?

Mathematics
1 answer:
natima [27]3 years ago
7 0
The answer is 62 degrees
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Which figure has the largest area?
svetlana [45]

Answer:

The Circle.

Step-by-step explanation:

The Triangle area is 112 ((14*16)/2), the squares area is 100 (10 * 10) and the circles area is 113.1 (6^2 * pi)

Hope this helps!

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Sawyer’s mom paid $1.50 for a 3/4 pound box of cereal. How much is that per pound? Question 4 options: $1.50 $1.75 $2.00 $2.50
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The answer is $2.00, cause it's 50¢ a quarter.
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What is the common difference for this arithmetic sequence?
MaRussiya [10]

Common difference of the arithmetic sequence, is

d=a_{n} - a_{n-1}

d = a_{2} -a_{1} = 48-31=17 \\ \\d= a_{3} -a_{2} = 65 - 48= 17 \\ \\ d= a_{4} -a_{3}= 82-65=17 \\ \\ Answer:\ D.17.

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3 years ago
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A manufacturer must test that his bolts are 4.00 cm long when they come off the assembly line. He must recalibrate his machines
storchak [24]

Answer:

The null hypothesis is H_o: \mu = 4.

The alternate hypothesis is H_a: \mu \neq 4

The pvalue of the test is 0.0182 < 0.05, which means that there is sufficient evidence to show that the manufacturer needs to recalibrate the machines.

Step-by-step explanation:

A manufacturer must test that his bolts are 4.00 cm long when they come off the assembly line.

This means that the null hypothesis is that they are 4.00 cm long, that is:

H_o: \mu = 4

At the alternate hypothesis we test if it is different. So

H_a: \mu \neq 4

The test statistic is:

z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

In which X is the sample mean, \mu is the value tested at the null hypothesis, \sigma is the standard deviation and n is the size of the sample.

4 is tested at the null hypothesis:

This means that \mu = 4

After sampling 196 randomly selected bolts off the assembly line, he calculates the sample mean to be 4.14 cm.

This means that n = 196, X = 4.14

He knows that the population standard deviation is 0.83 cm.

This means that \sigma = 0.83

Value of the test statistic:

z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

z = \frac{4.14 - 4}{\frac{0.83}{\sqrt{196}}}

z = 2.36

Pvalue of the test and decision:

The pvalue of the test is the probability that the sample mean is different by at least 4.14 - 4 = 0.14 from the target value, which is P(|z| > 2.36), which is 2 multiplied by the pvalue of z = -2.36.

Looking at the z-table, z = -2.36 has a pvalue of 0.0091

2*0.0091 = 0.0182

The pvalue of the test is 0.0182 < 0.05, which means that there is sufficient evidence to show that the manufacturer needs to recalibrate the machines.

5 0
2 years ago
What is the m and b for x=0
Eddi Din [679]

Answer:

idk my points now

Step-by-step explanation:

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