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Sindrei [870]
3 years ago
12

Savannah measure's the temperature of a liquid to be 24 Celsius. Convert to Fahrenheit

Mathematics
2 answers:
Aliun [14]3 years ago
7 0

Answer:

The answer is 75.2 degrees F

Step-by-step explanation:

Formula  

(24°C × 9/5) + 32 = 75.2°F

jek_recluse [69]3 years ago
5 0

Answer:

The temperature of Savannah's liquid to the nearest degree Fahrenheit is 75.2.

Step-by-step explanation:

The general formula to convert celsius into fahrenheit is

F=(C*9/5)+32

F= 24 *9/5 +32

F= 24*1.8 +32

F= 43.2 +32

F= 75.2

Therefore, The temperature of Savannah's liquid to the nearest degree Fahrenheit is 75.2

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What is the approximate measure of angle T in the triangle below 79° 84° 96° 101°
Anestetic [448]

The approximate measure of angle T in the given diagram is 79°. The correct option is the first option 79°

<h3>Law of Cosines</h3>

From the question, we are to determine the approximate measure of angle T

From the law of cosines, we can write that

cosT = (s² + u² - t²)/2su

From the diagram,

s = 3.9 cm

u = 2.7 cm

t = 4.3 cm

Thus,

cosT = (3.9² + 2.7² - 4.3²)/2(3.9)(2.7)

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cosT = 4.01/21.06

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T = cos⁻¹(0.1904)

T = 79.02°

T ≈ 79°

Hence, the approximate measure of angle T in the given diagram is 79°. The correct option is the first option 79°

Learn more on Law of Cosines here: brainly.com/question/28081595

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4 0
1 year ago
If a hypothesis is not rejected at the 0.10 level of significance, it: a. may be rejected at the 0.05 level. b. must be rejected
mariarad [96]

Answer:

Option D - Will not be rejected at the 0.05 level.

Step-by-step explanation:

The significance level, which is denoted as "α", is a measure of the strength of the evidence that must be present in a sample before we can reject the null hypothesis and conclude that the effect is statistically significant. Now, this significance level must be determined before conducting an experiment.

Now, in the context of this question, the significance level is the probability of rejecting the null hypothesis when it is true. For example, a significance level of 0.05 means a 5% risk of concluding that a difference exists when there is no actual difference. Now, lower significance levels will indicate that we require stronger evidence before we can reject the null hypothesis.

Thus, if we don't reject at α = 0.1,we obviously will not reject at higher values.

Thus, looking at the options, we will not reject at 0.05 significance level.

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