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butalik [34]
3 years ago
14

Stephen has three sweaters: one is blue, one is red and one is green. He pulls a sweater out of his dresser at random. What is t

he probability that it is his green sweater?
Mathematics
2 answers:
ozzi3 years ago
4 0

Answer:

1/3 or 33%

Step-by-step explanation:

Since there are 3 sweaters and only one is green, the ratio of green sweaters to all sweaters is 1:3. As a fraction, this ratio is 1/3. Finally, as a percentage, this fraction/ratio is 33%. Therefore, there is a 33% chance Stephen pulls out a green sweater.

Elanso [62]3 years ago
4 0

Answer:

about 33.3 repetative

Step-by-step explanation:

divide 100% by 3= giving you the answer

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Need the answers to these questions please
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Answer:

a) p = 88\,cm, b) p = 24\,cm, c) p \approx 25.424\,m, d) p \approx 39.368\,cm

Step-by-step explanation:

a) The perimeter is the sum of the three sides of the internal square and the remaining sides of the external rectangle, that is:

p = 3\times 8\,cm + 2\times 4\,cm +2\times 20\,cm + 16\,cm

p = 88\,cm

b) The perimeter is the sum of the two sides of the internal triangle and the remaining sides of the external rectangle, that is:

p = 2\times 4\,cm + 2\times 6\,cm + 4\,cm

p = 24\,cm

c) The perimeter is the sum of the two sides of the circular section and the three sides of the lower rectangle, that is:

p = \frac{\pi}{2}\times 6\,cm + 8\,cm + 6\,cm + 2\,cm

p \approx 25.424\,m

d) The perimeter is the sum of the external sides of the triangle and rectangle, that is:

p = 10\,cm + 12\,cm + 12\,cm + 12\,cm - \sqrt{(12\,cm)^{2}-(10\,cm)^{2}}

p \approx 39.368\,cm

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3 years ago
A recipe calls for 4 tbsp of baking soda and 1 fl oz which is greater
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Q 4.19: To verify whether there are negative consequences of taking a new type of medicine, 3000 tests were conducted. Assume th
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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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