For 50 points and brainliest! Someone please help this is time sensitive!
1 answer:
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For each question, there is a 1/2 chance at getting the question correct by guessing.
Let's take a scenario to better understand.
Suppose the true-false paper has 5 questions. For a perfect score by guessing, you'd need to get all 5 correct (ie (1/2)⁵)
The reason why you multiply is because you need each 1/2 simultaneously for a perfect score, which is an important concept when doing binomial probability later on.
Thus, let's use this knowledge to answer the question.
We need the minimum amount of questions such that the probability is less than 1/10.
We can write an inequality for this:
Now, we need to log both sides to find n.
n > 3.3219...
n ≈ 4
Thus, 4 questions is the minimum number of questions needed.
Let's take a scenario to better understand.
Suppose the true-false paper has 5 questions. For a perfect score by guessing, you'd need to get all 5 correct (ie (1/2)⁵)
The reason why you multiply is because you need each 1/2 simultaneously for a perfect score, which is an important concept when doing binomial probability later on.
Thus, let's use this knowledge to answer the question.
We need the minimum amount of questions such that the probability is less than 1/10.
We can write an inequality for this:
Now, we need to log both sides to find n.
n > 3.3219...
n ≈ 4
Thus, 4 questions is the minimum number of questions needed.
Answer:
Explained below.
Step-by-step explanation:
The ANOVA and Regression output for an application relating maintenance expense (dollars per month) to usage (hours per week) for a particular brand of computer terminal is provided.
(A)
The estimated regression equation equation is:
Here,
<em>y</em> = maintenance expense (dollars per month)
<em>x</em> = usage (hours per week) for a particular brand of computer terminal
(B)
Consider the Regression output.
The hypothesis to test whether monthly maintenance expense is related to usage is:
<em>H</em>₀: The monthly maintenance expense is not related to usage, i.e. <em>β</em> = 0.
<em>Hₐ</em>: The monthly maintenance expense is related to usage, i.e. <em>β</em> ≠ 0.
Compute the test statistic as follows:
Compute the <em>p</em>-value as follows:
The null hypothesis will be rejected if the <em>p</em>-value is less than the significance level.
<em>p</em>-value = 0.00033 < <em>α</em> = 0.05
Reject the null hypothesis.
(C)
Monthly maintenance expense <u>is related </u>to usage.
(D)
Yes, the estimated regression equation provide a good fit.
Since the regression coefficient is significant it can be concluded that the regression equation estimated is a good fit.