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3 years ago

Given: ∠1 ≅ ∠2

Mathematics

1 answer:

Kitty [74]3 years ago

3 0

The missing statement in the proof is ∠1 ≅ ∠4.

Solution:

(1) Given ∠1 ≅ ∠2

(2) ∠1 and ∠4 are vertical angles.

Vertical angle theorem:

If two angles are vertically opposite then they are congruent.

By vertical angle theorem,

⇒ ∠1 ≅ ∠4

(3) Transitive property of congruence:

If A = B and B = C, then A = C.

From (1) and (2), ∠2 ≅ ∠4.

(4) If two lines and a transversal form congruent corresponding angles, then the lines are parallel.

Therefore line a || line b.

⇒ a || b.

Hence the missing statement in the proof is ∠1 ≅ ∠4.

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The relative growth rate for a certain type of mutual fund is 5.1% per year. An account is opened with a balance of $35,000. How

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3 years ago

I need some help with this one. Please give it a go! Thank you for your time!

LekaFEV [45]

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Step-by-step explanation:

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2 years ago

Solve the equation for w 7w + 18 = 10w + 24

DochEvi [55]

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2 years ago

Read 2 more answers

A local company is concerned about the number of days missed by its employees due to ill ness. A Random Sample of 10 employees i

sukhopar [10]

Answer:

The incentive program does not cuts down on the number of days missed by employees.

Step-by-step explanation:

The dependent t-test (also known as the paired t-test or paired samples t-test) compares the two means associated groups to conclude if there is a statistically significant difference amid these two means.

A paired t-test would be used to determine whether the incentive program cuts down on the number of days missed by employees.

The hypothesis for the test can be defined as follows:

H₀: The incentive program does not cuts down on the number of days missed by employees, i.e. d ≥ 0.

Hₐ: The incentive program cuts down on the number of days missed by employees, i.e. d < 0.

From the information provided the data computed is as follows:

$n=10\\\bar d=-1.1\\SD_{d}=2.99$

Compute the test statistic value as follows:

$t=\frac{\bar d}{SD_{d}/\sqrt{n}}$

$=\frac{-1.1}{2.99/\sqrt{10}}\\\\=-1.16$

The test statistic value is -1.16.

Decision rule:

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

Compute the p-value of the test as follows:

$p-value=P(t_{n-1}$

*Use a t-table.

The p-value of the test is 0.1379.

The p-value of the test is very large for all the commonly used significance level. The null hypothesis will not be rejected.

Thus, there is not enough evidence to support the claim.

Conclusion:

The incentive program does not cuts down on the number of days missed by employees

4 0

3 years ago