0My colleagues are studying the morphology of Adelie penguin, specifically their flipper length. They are testing Hu=185 mm. If they reject Ho, what type of hypothesis testing error could they have madeDefine this type of error in a sentence.Oa. They could have made a type I (alpha) error. A type I error is when we fail to reject a false HOOb. They could have made a type II (beta) error. A type II error is when we fail to reject a false HOc. They could have made a type I (alpha) error. A type I error is when we reject a true HO.Od. They could have made a type II (beta) error. A type II error is when we reject a true HO.

=> They could have made a type I (alpha) error. A Type I error is whenwe reject a true Ho.…

Answered: 0 My colleagues are studying the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A hospital spokesperson states that 3% of emergency room visits by college students are for alcohol related health problem. Thus, Ho:p equals 0.03 and Ha:p does not equal 0.03 Descripe the Type 1 and Type 2 error that could occur for this hypothesis using words that are specific to this particular situation.
A researcher risks making a Type I error any time the null hypothesis is rejected? state the reason?
Suppose the null hypothesis, H0, is: a patient is not sick. State the Null and Alternative Hypothesis. Which type of error has the greater consequence, Type I or Type II?
create a hypothesis to test Depression among school age children 6yrs.-13yrs.old during the covid-19 quarantine in california. With age, ethnicity, location, and gender as variables. State variables as specifically as possible 2. List the Hypotheses as learned in this class 3.Type of statistical analysis that would be used and explain thoroughly why.
a. State the researcher’s null and alternative hypothesis
A 10. Feb 1Congruent and Simi x Jose Mica Dorsainvil - 10. Feb + Jose Mica =/MTQZNZUONZEYOTI5/a/MjcxODM2NDA3NTU0/details sente. G mountain gorilas li.. G definition poaching.. O School District of P.. Jose Mica Dorsainv.. E PED Similarity Test.doaruent? (yes or no) Reason? Congr Open with - Reason b) Congruent? (yes or no) Reason? Extra Credit; Crédito adicional; Siplemantè Kredi (You do not have to do this one) Given: AC BC Dis the midpoint of AB Prove: AACD = ABCD Statements Reasons 1 Given 2 Given 4. S AACD ABCD Decide if the triangles below are similar or not and give the reason (AA-, Sss-, SAS-). Decide si los triángulos de abajo son similares o no y da la razón (AA ~, SSS -, SAS -). Deside si triyang ki anba yo sanble oswa ou pa epi bay rezon an (AA -, SSS -, SAS -). e the reason. Make sure you give a w Page 1
While testing a hypothesis, we can do either Type I error, or Type II error, but not both of them. Select one: a. True b. False
The average career length for an NFL defensive back is more than 2.9 years. Determine if the hypothesis daim above is the Null Hypothesis or the Alternative Hypothesis. Alternative O Null
Express the null hypothesis and the alternative hypothesis in symbolic form. Use the correct symbol (4, p, o) for the indicated parameter. An entomologist writes an article in a scientific journal which claims that fewer than 16 in ten thousand male fireflies are unable to produce light due to a genetic mutation. Use the parameter p, the true proportion of fireflies unable to produce light.
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) Marshall is superstitious and suspects that people who take the GRE while wearing the same dirty socks that they wore when they got their best score on a practice test will do better than people who do not wear these “lucky” socks. In order to test that hypothesis among college students, he made 20 students wear their “lucky” socks and 20 not wear their lucky “socks” while taking the GRE test. Although he was convinced that people who wore their “lucky” socks would score higher than people who didn’t, he wanted to be able to test the possibility that they could score lower. Their scores are as follows: “Lucky” Non-“Lucky” Sock wearers Sock Wearers 108 105 107 107 112 110 113 109 105 105 100 114 120 98 *For this problem, you will be conducting a t…
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