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Darina [25.2K]
3 years ago
9

Which graph below shows the solution set for the inequality b ≥ 5?

Mathematics
1 answer:
hichkok12 [17]3 years ago
5 0
Second option, b starts on five and continues to the right side of it because b is greater than five. It is closed dot because it is equal to or greater than five.
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Step-by-step explanation: Recall that the columns of A are linearly independent if and only Ax = 0 had only the trivial solution. Since Ax = b has at most one solution, therefore the only solution to Ax = 0 is the trivial solution and the column vectors must be linearly independent.

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The region below has a population of about 14,000 people. Select the best approximation for the population density of the region
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Need number 5 really badly
vlabodo [156]

a = b

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A group of consumers were randomly selected and asked whether they were planning to buy a new TV screen within the next year. 56
kodGreya [7K]

Answer:

The approximate probability is 0.1921.

Step-by-step explanation:

The <em>p</em>-value is defined as the probability, [under the null-hypothesis (H₀)], of attaining a result equivalent to or greater than what was the truly observed value of the test statistic.

The hypothesis to test whether the proportion of consumers that plan to buy a new TV screen within the next year is 0.22, is defined as:

<em>H₀</em>: The proportion of consumers that plan to buy a new TV screen within the next year is 0.22, i.e. <em>p</em> = 0.22.

<em>Hₐ</em>: The proportion of consumers that plan to buy a new TV screen within the next year is 0.22, i.e. <em>p</em> > 0.22.

The information provided is:

<em>n</em> = 230

<em>X</em> = 56

Compute the value of sample proportion as follows:

\hat p=\frac{X}{n}=\frac{56}{230}=0.2435

Compute the test statistic as follows:

z=\frac{\hat p-p}{\sqrt{\frac{p(1-p)}{n}}}=\frac{0.2435-0.22}{\sqrt{\frac{0.22(1-0.22)}{230}}}=0.87

The test statistic value is, 0.87.

Compute the <em>p</em>-value as follows:

p-value=P(Z>0.87)=1-P(Z

*Use a <em>z</em>-table for the probability.

The <em>p-</em>value of the test is 0.1921.

Thus, the approximate probability of obtaining a sample proportion equal to or larger than the one obtained here is 0.1921.

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