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MAXImum [283]
3 years ago
10

Is the number of free dash throw attempts before the first shot is missed number of free-throw attempts before the first shot is

missed a discrete random​ variable, continuous random​ variable, or not a random​ variable?
Mathematics
1 answer:
jarptica [38.1K]3 years ago
5 0
<span>The number of free dash throw attempts before the first shot is missed number of free-throw attempts before the first shot is missed is an example of a discrete random​ variable. A discrete random variable has a probability distribution can give any possible value and the probability of that value in any given data presentation such as graph, table or formula. They are called discrete random variables because they show a specific number of finite or countable infinite values after an event has happened. In here, the number of free throw attempts wit or without missing the first shot can be counted thus making it a discrete random variable.</span>
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4000/4
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g Which of the following is true about a p-value? Group of answer choices It measures the probability that the null hypothesis i
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It measures the probability of observing your test statistic, assuming the null hypothesis is true.

Step-by-step explanation:

The p-value, also known as the probability value <u>measures the probability of observing your test statistic, assuming the null hypothesis is true.</u>

A low p-value means a higher chance of the null hypothesis to be true.

It lies between 0 and 1. A small p-value indicates fewer chances of the null hypothesis to be true.

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3 years ago
On the last day of vacation, the Hernandez family drove 252 miles from a state park to their home. That drive covered 35% of the
aleksklad [387]

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  720 miles

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We are given a distance and a fraction of the total that it represents. This lets us write the relation ...

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The Hernandez family traveled 720 miles during their vacation.

7 0
2 years ago
A data set includes weights of garbage discarded in one week from 62 different households. The paired weights of paper and glass
lara [203]

Answer:

Because the absolute value of the test statistic is <u>less than</u> the positive critical value, there <u>is not</u> enough evidence to support the claim that there is a linear correlation between the weights of discarded paper and glass for a significance level of α = 0.05.

Step-by-step explanation:

The correlation​ matrix provided is:

Variables    Paper     Glass

  Paper           1         0.1853

 Glass        0.1853         1

Te hypothesis for the test is:

<em>H</em>₀: <em>ρ</em> = 0 vs. <em>H</em>₀: <em>ρ</em> ≠ 0

The test statistic is:

<em>r</em> = 0.1853 ≈ 0.185

As the alternate hypothesis does not specifies the direction of the test, the test is two tailed.

The critical value for the two-tailed test is:

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The conclusion is:

Because the absolute value of the test statistic is <u>less than</u> the positive critical value, there <u>is not</u> enough evidence to support the claim that there is a linear correlation between the weights of discarded paper and glass for a significance level of α = 0.05.

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