Christopher scored 7 more than two times the questions Mathew scored on the math test. If Christopher scored 87 on the math test
1 answer:
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Answer:
7.3 ft
Step-by-step explanation:
The information given represents a right angle triangle with the following:
reference angle = 52°
Adjacent side length = 5.7 ft.
Opposite side length = height of the statue = h
Applying the trigonometric ratio formula, we would have:
Multiply both sides by 5.7
(nearest tenth)
Answer:
4 possible outcomes
Step-by-step explanation:
we know that
The probability of an event is the ratio of the size of the event space to the size of the sample space.
The size of the sample space is the total number of possible outcomes
The event space is the number of outcomes in the event you are interested in.
so
Let
x------> size of the event space
y-----> size of the sample space
so
In this problem
<em>The probability of choose a blue card is </em>
substitute
<em>The probability of choose a green card is </em>
substitute
<em>The probability of choose a red card is </em>
substitute
<em>The probability of choose a yellow card is </em>
substitute
The sum of the probabilities of the 4 possible outcomes is equal to
----> represent the 100%
Answer:
Option a) Type I error would occur if we reject null hypothesis and conclude that the average amount is greater than $3,200 when in fact the average amount is $3,200 or less.
Step-by-step explanation:
We are given the following information in the question:
where μ is the average amount of money in a savings account for a person aged 30 to 40.
Type I error:
- Type I error is also known as a “false positive” and is the error of rejecting a null hypothesis when it is actually true.
- In other words, this is the error of accepting an alternative hypothesis when the results can be attributed by null hypothesis.
- A type I error occurs during the hypothesis testing process when a null hypothesis is rejected, even though it is correct and should not be rejected.
Thus, in the above hypothesis type error will occur when we reject the null hypothesis even when it is true.
Option a) Type I error would occur if we reject null hypothesis and conclude that the average amount is greater than $3,200 when in fact the average amount is $3,200 or less.