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alukav5142 [94]
2 years ago
13

Stronger evidence against the null hypothesis is indicated by: Group of answer choices lower levels of significance. smaller p-v

alues. lower probabilities for the power of the test. smaller critical values.
Mathematics
1 answer:
Fantom [35]2 years ago
8 0

Stronger evidence against the null hypothesis is indicated by: smaller p-values.

<h3>What is null hypothesis?</h3>

A statistical conjecture known as a null hypothesis asserts that certain features of a population or data-generating process are not different from one another.

A mechanism to reject the null hypothesis with a predetermined level of confidence is provided by hypothesis testing.

The alternative hypothesis is supported if the null hypothesis can be rejected.

The foundation of the scientific falsification principle is null hypothesis testing. The null hypothesis presupposes that any variation in the selected characteristics you observe in a set of data is the result of chance.

Learn more about null hypothesis here:

brainly.com/question/13045159

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Tamiku [17]

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90 Confidence Interval for the proportion = [ 0.216,0.334]

Step-by-step explanation:

The confidence interval for proportion formula =

p ± z × √p(1 - p)/n

Where p = x/n

x = 42

n = number of samples = 153

p = 42/153

p = 0.2745098039 ≈ 0.275

z = z score of 90% confidence interval = 1.645

Confidence interval =

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= 0.275 ± 1.645 × √0.0013031046

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Confidence Interval

= 0.275 - 0.0593820985

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= 0.275 + 0.0593820985

= 0.3343820985

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90 Confidence Interval for the proportion = [ 0.216,0.334]

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Step 2 is to then determine which lines go through (1,2). The two lines in question are line A and line C. So the intersection of line A and line C is the point (1,2). This point satisfies the equations that make up these lines. So that is why it is considered a solution to just these two equations only (ignore the other lines).

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4 years ago
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