Fill in the blanks for the following definitions from module 6
as well as some general definitions.
Choose between Reject H0, make a Type I error, Fail to Reject H0,
make a Type II error, p-value, z score, t-statistic, confidence
interval.
1. Module 6
a. When we ____, we say we have enough evidence against the null
hypothesis.
b. When we _____, we say we do not have enough evidence against the
null hypothesis.
c. A _____ is when we fail to reject a null hypothesis even though
it is false.
d. A ___ is when we reject a null hypothesis even though it is
true.
e. The _____ measures how many standard errors away the point
estimate is from the null hypothesis value.
f. The _____ is the probability of getting our result or something
more extreme if the null hypothesis is true.
g. The ____ tells us the range of plausible values for the
population parameter.
a. Reject
H0.
b. Fail to Reject H0
c. Type II error
d. Type I error
e. t statistic
f. p-value
g. confidence interval
Fill in the blanks for the following definitions from module 6 as well as some general...
Complete the statement below. A Type II Error is made. Choose the correct answer below. O A. A Type II Error is made when there's not enough evidence to reject the null hypothesis and the null hypothesis is true. OB. A Type II Error is made anytime we do not reject the null hypothesis. OC. A Type II Error is made when there's not enough evidence to reject the null hypothesis, but the null hypothesis is not true. OD. A...
i need 9 though 15 please and thank you STAT 2480 Chapter 9: Significance Tests About Hypotheses Across 1. In a significance test, the null hypothesis is presumed to unless the data give strong evidence against it. Down 2. The hypothesis is usually a statement of no treatment effect the null hypothesis 3. A Type 1 Error is when we when it is true. 4. When the null hypothesis is rejected because the P- value is less than or equal...
Please explain it with proper reasoning. 3. The following statements are very important. Give them some careful thought and discuss them (a) When we fail to reject the null hypothesis, we do not claim that it is abso- lutely true. We simply claim that at the given level of significance, the data were not sufficient to reject the null hypothesis (b) When we accept the alternate hypothesis, we do not claim that the null hypothesis is absolutely false. We do...
Module Answer one part and leave the rest for other students. When giving examples, give one example and let someone else give another example. Trivial answers such as "cool" or "l agree" do not count. Civil discourse only, please. Inappropriate comments result in a loss of credit for this discussion. To enter an algebraic expression, equation or a function use the fx icon above. If it is not visible select the "Show More" down arrows on the left First Question:...
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