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Alla [95]
3 years ago
14

Evaluate \dfrac {15}k

Mathematics
1 answer:
Georgia [21]3 years ago
6 0

Answer:

5

Step-by-step explanation:

We desire to evaluate the fraction: \dfrac{15}{k} when k=3.

This is a simple substitution, so what is required is

  • Replace k with the given number
  • Simplify the resulting expression

Therefore, when k=3

\dfrac{15}{k}=\dfrac{15}{3}=5

You can try the same for any value of k.

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A class tracked the hours each student played games per month. Answer the questions below.
adelina 88 [10]

Answer:

a) 4.33 (three repeating)

b) 3.5

c) 3

d) 0.44

Step-by-step explanation: Mean is all the numbers added up and divided by the amount of items. All the items added together are 78. We have 18 items 78/18 = 4.3 (three repeating). Median is just the middle value. This is between 3 and 4 so 3.5. Mode is the one that shows the most. This is 3. 8 students play games for more than 4 hours. 8/18 = 0.44

3 0
3 years ago
HELP PLEASE! Which function had the higher average rate of change between the beginning of January and the middle of March? What
pashok25 [27]

Answer:

Minneapolis

Step-by-step explanation:

6 0
3 years ago
Simplify 3^6.3.<br> O A. 3^7<br> O B. 3^5<br> O c. 3^6<br> O D. 9^6<br> ASSSAPPP!!!!!!!!!!
Lapatulllka [165]

Answer:

D. 9^{6}

Step-by-step explanation:

(3^6)(3)

(3*3)^6

9^{6}

3 0
3 years ago
The variables y and x have a proportional relationship, and y = 9 when x = 2.
Aloiza [94]

Answer: y=13.5


Step-by-step explanation:

1. By definition, if y=9 when x=2, then:

\frac{y}{x}=\frac{9}{2}

2. Keeping this on mind, to find the value of y when x=3, you must apply the following proccedure:

\frac{y}{3}=\frac{9}{2}

3. Now, you must solve for y, as following:

y=3(\frac{9}{2})\\y=\frac{27}{2}\\y=13.5

4. Then, the result is:

y=13.5


4 0
4 years ago
Q 4.19: To verify whether there are negative consequences of taking a new type of medicine, 3000 tests were conducted. Assume th
tiny-mole [99]

Answer:

The p-value obtained is less than the significance level at which the test was performed at, hence, we reject the null hypothesis, accept the alternative hypothesis & say that there is enough evidence to conclude that the the new medicine is potentially harmful.

Step-by-step explanation:

The null hypothesis plays the devil's advocate and usually takes the form of the opposite of the theory to be tested. It usually contains the signs =, ≤ and ≥ depending on the directions of the test.

While, the alternative hypothesis usually confirms the the theory being tested by the experimental setup. It usually contains the signs ≠, < and > depending on the directions of the test.

For this question, the null hypothesis is that the new medicine has no negative effects and the alternative hypothesis is that the new medicine is potentially harmful

Mathematically,

The null hypothesis is represented as

H₀: p = 0

The alternative hypothesis is represented as

Hₐ: p > 0

To do this test, we will use the z-distribution because although no information on the population standard deviation is known, the sample size is large enough.

So, we compute the test statistic

z = (x - μ)/σₓ

x = sample proportion = (31/3000) = 0.0103

μ = p₀ = 0

σₓ = standard error = √[p(1-p)/n]

where n = Sample size = 3000

σₓ = √[0.0103×0.9897/3000] = 0.0018462936 = 0.0018463

z = (0.0103 - 0) ÷ 0.0018463

z = 5.60

checking the tables for the p-value of this test statistic

Significance level = 1% = 0.01

The hypothesis test uses a one-tailed condition because we're testing only in one direction.

p-value (for z = 5.60, at 0.01 significance level, with a one tailed condition) = < 0.00001

The interpretation of p-values is that

When the (p-value > significance level), we fail to reject the null hypothesis and when the (p-value < significance level), we reject the null hypothesis and accept the alternative hypothesis.

So, for this question, significance level = 0.01

p-value = < 0.00001

p-value < 0.00001 < 0.10

Hence,

p-value < significance level

This means that we reject the null hypothesis, accept the alternative hypothesis & say that there is enough evidence to conclude that the the new medicine is potentially harmful.

Hope this Helps!!!

6 0
4 years ago
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