Answer:
1.41421356237Explanation:
The square root of 2 or root 2 is represented using the square root symbol √ and written as √2 whose value is 1.414.
Can someone please help me with this question
The answer is C. (0,1). I believe.
According to Hebrews 11, what did Abraham believe God would do if Isaac was slain as a sacrifice?
Answer: He believed God would revive Isaac.
Use the Pythagorean Theorem to determine the lengths of QT− and RS−. Show your work.
Use the Pythagorean Theorem to determine the lengths of QT and RS Show your work
(HURRY I WILL GIVE BRAINLEST)
Answer:
[tex]\sqrt{a^2+b^2}[/tex] = c
Explanation:
This is the Pythagorean theorem to solve for C. So to answer your question, your answer will be [tex]\sqrt{(QT)^2+(RS)^2}[/tex]. (plz mark me brainliest I just need one more) Thanks!
45,43,45,44,44,44,47
Using this data, create a dot plot where each dot represents a season.
this data, create a dot plot where each dot represents a season.
Which of the following statements is FALSE?
a.)
A larger sample size would increase the effectiveness of a hypothesis test.
b.)
Alpha (α) is equal to the probability of making a Type I error.
c.)
Expanding the sample size can increase the power of a hypothesis test.
d.)
Reducing the significance level (α) can increase a test's effectiveness.
The statement that is FALSE among the given options on hypothesis testing is;
Option D; Reducing the significance level (α) can increase a test's effectiveness.
This is about hypothesis testing.
Let us look at each of the options.
A) When we increase the sample size, it means the testing becomes more sensitive and as such we are more likely to reject the null hypothesis. Thus, it increases the effectiveness.B) Alpha (α) is defined as the probability of rejecting the null hypothesis. Thus it is the probability of making a Type I error.C) Expanding the sample size makes the hypothesis test to be more sensitive. That is makes it more likely to reject the null hypothesis when it is false and as such it increases the power of the test.D) The lower the significance level, the lower the power of the test and as such the lesser the tests effectiveness.Read more about hypothesis testing at; https://brainly.com/question/15980493