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Helga
14 days ago
15

Calculate the side lengths a and b to two decimal places. Will give five stars and brainliest to the first answer!!!!! Need help

ASAP.

Mathematics
2 answers:
Inessa [8.9K]14 days ago
7 0

Response:

Applying the Sine Rule, which articulates that

\frac{a}{Sin A}=\frac{b}{Sin B}=\frac{c}{SinC}

In triangle ABC

∠A +∠B+∠C=180°→→Triangle Angle Sum Property

72°+85°+∠C=180°

∠C=180° - 157°

∠C= 23°

All angle measurements are in degrees.

\frac{a}{Sin 72}=\frac{b}{Sin 85}=\frac{6.2}{Sin 23}

Utilizing the sine table to determine sine values

Sin 72°= 0.9510

Sin 85°=0.996

Sin 23°=0.390

\frac{a}{0.951}=\frac{b}{0.996}=\frac{6.2}{0.390}\\\\ a=\frac{6.2 * 0.951}{0.390}= 15.118\\\\ b=\frac{6.2 * 0.996}{0.390}=15.833

Among the five choices,[ [TAG_37]]

Choice E: a= 15.09 and b=15.81  is approximately correct.

zzz [9K]14 days ago
5 0

Response:

As previously mentioned, it's 1509 and 1581Here’s a step-by-step breakdown:

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1. 1 – n = 0.
Another example: John bought 25 apples and Julia bought 15. If Niccole bought twice as many as Julia, how many apples did Niccole buy?<span><span>
Steps:</span>First, restate the situation clearly so you can identify the relationship and how to form the expression.</span> <span><span>
Solution:</span>Julia = 15 apples Niccole = 2Julia </span>Thus, 2Julia = 2(15) = 30 apples.




3 0
1 day ago
Read 2 more answers
Machines at a factory produce circular washers with a specified diameter. The quality control manager at the factory periodicall
zzz [9066]

Answer:

A Type I error could occur if the test shows that the proportion is above 90%, while in reality, the actual proportion is 90%.

Step-by-step explanation:

Machines in a factory produce circular washers that meet a specific diameter.

The quality control manager routinely assesses samples of washers to ensure that more than 90% conform to the specified diameter.

Let p represent the proportion of washers that meet the specified diameter

Thus, Null hypothesis: p = 90% H_0

Alternative Hypothesis: p > 90%H_A

Here, the null hypothesis posits that the proportion is exactly 90%. In contrast, the alternative hypothesis suggests that the proportion exceeds 90%.

Now, a Type I error indicates the probability of rejecting the null hypothesis while it is actually true or, in simple terms, the likelihood of incorrectly rejecting a valid hypothesis.

Thus, based on our question, a Type I error would declare that the test convincingly indicates the proportion is over 90%, while in truth, it remains 90%.

0 0
2 days ago
What is the answer? The glee club has 120 cupcakes to sell. they have decided to arrange the cupcakes in the shape of a rectangl
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<span>Determine the configuration of columns and rows for the rectangular arrangement of 120 cupcakes.
=> There must be an even number of rows and an odd number of columns.
=> 120 = 2 x 2 x 2 x 15
=> 120 = 8 x 15
=> 120 = 120
Consequently, the glee club should organize the cupcakes in 8 rows and 15 columns.
This totals up to 120 cupcakes altogether.

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1 month ago
Equation that equals 69?
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3x23=69 is the equation that has the sum 69
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14 days ago
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A certain pen has been designed so that true average writing lifetime under controlled conditions (involving the use of awriting
tester [8808]

Answer:

a) Null hypothesis:\mu \geq 10

Alternative hypothesis:\mu < 10

b) p_v =P(t_{17}

Given that the p-value is lower than the significance threshold in this situation, we have sufficient grounds to reject the null hypothesis.

c) p_v =P(t_{17}

In this case, since the p-value exceeds the significance threshold, we have adequate evidence to FAIL to reject the null hypothesis.

d) p_v =P(t_{17}

Here again, with the p-value being less than the significance level, we can reject the null hypothesis.

Step-by-step explanation:

1) Provided data and references

\bar X represents the average of the samples

s denotes the standard deviation of the samples

n=18 indicates the number of samples

\mu_o =10 is the value we are examining

\alpha defines the significance level for the test.

t represents the specific statistic of interest

p_v indicates the p-value relevant to the test (the variable of concern)

Define the null and alternative hypotheses.

To assess if the true mean is at least 10 hours, we must set up a hypothesis:

Part a

Null hypothesis:\mu \geq 10

Alternative hypothesis:\mu < 10

If we consider the sample size being less than 30 and the population deviation unknown, it’s more appropriate to use a t-test to compare the actual mean with the reference value, calculated as:

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}} (1)

Part b

In this scenario t=-2.3, \alpha=0.05

Initially, we need to calculate the degrees of freedom df=n-1=18-1=17

Since this is a left-tailed test, the p-value is determined by:

p_v =P(t_{17}

In this instance, with the p-value being less than the significance level, we have sufficient evidence to reject the null hypothesis.

Part c

For this situation t=-1.8, \alpha=0.01

We need to find the degrees of freedom df=n-1=18-1=17

For the left-tailed test, the p-value is given by:

p_v =P(t_{17}

In this case, since the p-value is above the significance level, we have enough grounds to FAIL to reject the null hypothesis.

Part d

For this case t=-3.6, \alpha=0.05

Firstly, we find the degrees of freedom df=n-1=18-1=17

Since we are conducting a left-tailed test, the p-value is calculated as:

p_v =P(t_{17}

Here, with the p-value being lower than the significance threshold, we can reject the null hypothesis.

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29 days ago
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