Question

In: Statistics and Probability

33. Which of the following does NOT apply to Type I Errors? a) they occur when...

33. Which of the following does NOT apply to Type I Errors? a) they occur when a researcher rejects a true null hypothesis b) generally, the maximum amount of Type I Error allowed is 5% c) the alpha level corresponds to the probability of a Type I Error d) they influence the power of a hypothesis test.

Please explain your answer.

Solutions

Expert Solution

( 33 )

answer:

the option ( b ) is correct answer

the explanation is,

  • these are as It doesn't have any significant bearing to Type I blunders that by and large the most extreme measure of Type I Error permitted is 5%.

the another explanation is,

  • this are as there are two sorts of blunders that can be made in hugeness testing: (1) a genuine invalid theory can be mistakenly rejected and (2) a false invalid speculation can neglect to be rejected.
  • The previous mistake is known as a Type I blunder and the last blunder is known as a Type II blunder.
  • the all as the more by and large, a Type I mistake happens when a noteworthiness test results in the dismissal of a genuine invalid speculation.
  • these are as the by one normal tradition, in the event that the likelihood esteem is beneath 0.05, the invalid speculation is rejected.
  • The likelihood of making a sort I blunder is α, which is the dimension of hugeness you set for your theory test.
  • the α of 0.05 demonstrates that you will acknowledge a 5% chance that you are incorrect when you dismiss the invalid speculation. ... The likelihood of dismissing the invalid speculation when it is false is equivalent to 1– β.
  • the sort I blunder is a sort of mistake that happens amid the theory testing process when an invalid speculation is dismissed despite the fact that it is valid and ought not be rejected.
  • these are as the  theory testing, an invalid speculation is set up before the beginning of a test. At times, the invalid theory accept the nonattendance of a circumstances and logical results connection between the thing being tried and the boosts being connected to the guinea pig so as to trigger a result to the test.
  • there is the this is signified as "n=0." If, when the test is led, the outcome appears to demonstrate that the improvements connected to the guinea pig causes a response then the invalid theory that the boosts has no impact on the guinea pig will be rejected.

Related Solutions

8) Errors: Type I and Type II are errors that are possible even when a hypothesis...
8) Errors: Type I and Type II are errors that are possible even when a hypothesis test is done correctly. A hypothesis test is based on probabilities (p-values) This means there is always a probability of drawing the wrong conclusion even when done correctly. Please review the following: a.) What are type I and type II errors? b.) Be able to discuss what a type I or type II error is in a given scenario c.) What is the relationship...
Type I and Type II Errors . Please discuss Type I and Type II errors. What...
Type I and Type II Errors . Please discuss Type I and Type II errors. What are they? Discuss their relationship with hypothesis testing. Answer all parts of question!!! Do not plagiarize!! Write out the answer on here, don't post a picture of it! Answer must be long!
True or False: Three types of errors can occur in significance testing. A type I error...
True or False: Three types of errors can occur in significance testing. A type I error results from rejecting Ho when it is true. A type II error results from failing to reject Ho. A type III error results from a statistic student not reading the textbook, reviewing their notes and summary questions, correcting old quiz and exam questions for the Final Comprehensive Exam
Type I and II Errors
A manufacturer of 40-amp fuses wants to make sure that the mean amperage at which its fuses burn out is in fact 40. If the mean amperage is lower than 40, customerswill complain because the fuses require replacement too often. If higher, the manufacturer might be liable for damage. To verify the amperage of the fuses, a sample offuses is to be selected and inspected. If a hypothesis test were to be performed on the resulting data, what null and...
I get the following errors when I type the code #include <iostream> #include <string.h> #include <bitset>...
I get the following errors when I type the code #include <iostream> #include <string.h> #include <bitset> #include <math.h> #define IS_INTEGRAL(T) typename std::enable_if< std::is_integral<T>::value >::type* = 0 using namespace std; template<class T> std::string inttobits1(T byte, IS_INTEGRAL(T)) { std::bitset<sizeof(T)* CHAR_BIT> bs(byte); return bs.to_string(); } int bitstoint1(string bits) { int value; for (int x = 0, y = bits.length() - 1;x < 8 && x < bits.length();x++) { int val = atoi(bits.substr(y, 1).c_str()); value += (int)val * pow(2, x); } return value; }...
Which of the following does not occur when a sarcomere contracts? a. the thin filaments are...
Which of the following does not occur when a sarcomere contracts? a. the thin filaments are pulled toward the center of the sarcomere b. the lengths of the thin and thick filaments are unchanged c. the thin and thick filaments increasingly overlap d. the distance between the ends of the sarcomeres (Z discs) increases e. the width of the A band is unchanged f. the H zone and I band become narrower _________________________________________________________________________________ Which of the following would not help...
Type I and Type II errors Statistically speaking, we are generally agnostic to which is a...
Type I and Type II errors Statistically speaking, we are generally agnostic to which is a bigger problem, type I (false positive) errors or type II (false negative) errors. However, in certain circumstances it may be important to try and put more emphasis on avoiding one or the other. Can you think of an example of where you may want to try harder to avoid one type or another? Can you think of a policy; political, economic, social, or otherwise,...
1. Explain Type I and Type II errors. Which one is not controllable by the experimenter?
1. Explain Type I and Type II errors. Which one is not controllable by the experimenter?
Explain what Type I and Type II errors are.
Explain what Type I and Type II errors are.
6) For the following problems, identify the hypotheses, define Type I and Type II errors, and...
6) For the following problems, identify the hypotheses, define Type I and Type II errors, and discuss the consequences of each error. (When you set up the hypotheses, consider which is the hypothesis you are ”trying to prove”, and that is your alternative. The null hypothesis is then the status quo.) a. The FDA judges the safety of new drugs. When faced with a new drug, there are two possible decisions: approve the drug or disapprove the drug. b. You...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT