Approximate Total Number of Participants Needed for 80%Power for the Chi-Square Test for Independence forTesting Hypotheses at the 0.05 Significance LevelEffect SizeTotal dfSmallMediumLarge178587262964107393441,0901,1941214.13348 About how many participants do you need for 80% power in each of the planned studies to the right using achi-square test for independence with p<0.05?Predicted Effect SizeDesign(a)(b)(C)(d)(e)Small2x2E Click the icon to view the Approximate Total Number of Participants Needed for 80% Power for theMedium2x4LargeLarge2x3Chi-Square Test Independence for Testing Hypotheses at the 0.05 Significance Level.3x3Medium3x3

Answered: Image /qna-images/answer/2a51af2e-e75a-432f-ba10-dd0a1db839e2.jpg

Answered: Approximate Total Number of…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

An agriculture company wants to determine if a new fertilizer has a significant effect on crop yields. The null hypothesis is that the fertilizer has no effect on crop yields, meaning that the average yield with the fertilizer is equal to the average yield without the fertilizer. The company conducts an ANOVA test and obtains an F-statistic of 3.2 and a numerator degrees of freedom of 3 and denominator degrees of freedom of 20. What is the p-value of the hypothesis test?
A behavioral economics psychologist wanted to see what factors were important when a person selects speakers. The tested price of speakers (of low and high) and sound amplitude (soft and loud), as some research shows the louder speakers sound better to people. He asked participants to rate the sound quality of the speakers they listened to from 0-10, with a score of 10 being the highest quality. Write the hypothesis (in words), perform the ANOVA and include the partial eta squared calculations in your APA write up of the results of the following data.Test at an alpha level of α=.05. Factor B low high soft 0 4 1 6 4 5 3 4 2 3 Mean 2 4.4 N=20 SS 10 5.2 G=104 Factor A Total 10 22 ∑x2=682 loud 8 8 6 5 9 5 5 9 10 7 Mean 7.6 6.8 SS 17.2 12.8 Total 38 34
The researchers decide to extend the study to a 5-year period and find that 20 of the 200 people develop a cataract over a 5-year period. Suppose the expected incidence of cataracts among 65- to 69-year-olds in the general population is 5% over a 5-year period. *7.49 Test the hypothesis that the 5-year incidence rate of cataracts is different in the excessive-sunlight-exposure group compared with the general population and report a p-value (two-sided).
The defective percentage of bricks produced by a certain process is 20%. A new method isintroduced which is supposed to reduce the defective percentage. 150 bricks produced by thismethod showed 27 of them are defective. Does this data support the above claim at significancelevela = 0.01?
A recent drug survey showed an increase in the use of drugs and alcohol among local high school seniors as compared to the national percentage. Suppose that a survey of 100 local seniors and 100 national seniors is conducted to see if the proportion of drug and alcohol use is higher locally than nationally. Locally, 65 seniors reported using drugs or alcohol within the past month, while 60 national seniors reported using them. Conduct a hypothesis test at the 5% level.NOTE: If you are using a Student's t-distribution for the problem, including for paired data, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.) Part (a) State the null hypothesis. H0: plocal ≠ pnational H0: plocal > pnational H0: plocal = pnational H0: plocal < pnational Part (b) State the alternative hypothesis. Ha: plocal < pnational Ha: plocal = pnational Ha: plocal ≠ pnational Ha: plocal > pnational…
A recent drug survey showed an increase in the use of drugs and alcohol among local high school seniors as compared to the national percent. Suppose that a survey of 100 local seniors and 100 national seniors is conducted to see if the proportion of drug and alcohol use is higher locally than nationally. Locally, 67 seniors reported using drugs or alcohol within the past month, while 61 national seniors reported using them. Conduct a hypothesis test at the 5% level.NOTE: If you are using a Student's t-distribution for the problem, including for paired data, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.) State the distribution to use for the test. (Round your answers to four decimal places.) P'local − P'national ~ ,
A greenhouse wants to test the effectiveness of alternative fertilizers on plant growth. One sample of 400 is treated with brand A & another 400 was treated with brand B. After 2 weeks results showed that 150 bloom from brand A and 130 bloom from brand B. What can it conclude at 0.05 level of significance that the 2 brands are not equally effective?. What is the computed value and decision?
Historically, the proportion of people who trade in their old car to a car dealer when purchasing a new car is 48%. Over the previous 6 months, in a sample of 115 new-car buyers, 46 have traded in their old car. The p-value for the test of whether the proportion of people who trade in their old cars to a car dealer has decreased is 0.0427. If we were to test this hypothesis at the 5% level of signficance, what can you conclude concerning the null hypothesis?
A genetic expert was attempting to cross a tiger and a cheetah. She predicted a phenotypic outcome of the trait she was observing to be in the following ratio 4stripes:3spots:9 both stripes and spots. When the crossbreed was performed and she wanted the individual, she found 50 with stripes and only 41 with spots and 85 with both stripes and spots. Using the chi-square test confirm or reject predicted outcome given that the alpha level is equal to 0.05
A researcher was interested in studying the best way to teach suturing and casting to surgicalresidents. To study this, all incoming orthopaedic residents were divided into three groups: astandard training group scheduled to work in the emergency department (n=8), an instructor-led surgical skills boot camp group (n=8), and student-led surgical skills boot camp group (n=8).After 7 days of the intervention, suturing and casting skills were measured through asimulation-based exam. The researcher wants to know whether average exam scores differbetween the three groups. Under the heading “Results” present your findings (i.e., what you found).Include at least one measure of central tendency and variability. An assumption check(describe what you did and what you found, as needed), check for potential outliers,and present the findings of your inferential test (i.e., your critical value and p value), asappropriate. Participant Average Exam Score (%) Intervention 1 50 On service 2 60 On…
Researchers have noted a decline in cognitive functioning as people age (Bartus, 1990). However, the results from other research suggest that the antioxidants in foods such as blueberries may reduce and even reverse these age-related declines (Joseph et al., 1999). To examine this phenomenon, suppose that a researcher obtains a sample of n = 16 adults who are between the ages of 65 and 75. The researcher uses a standardized test to measure cognitive performance for each individual. The participants then begin a 2-month program in which they receive daily doses of a blueberry supplement. At the end of the 2-month period, the researcher again measures cognitive performance for each participant. The results show an average increase in performance of MD = 7.4 with SS = 1215. Does this result support the conclusion that the antioxidant supplement has a significant effect on cognitive performance? Use a two-tailed test with α = .05. Show your computations.
A recent drug survey showed an increase in use of drugs and alcohol among local high school seniors as compared to the national percent. Suppose that a survey of 100 local seniors and 100 national seniors is conducted to see if the percentage of drug and alcohol use is higher locally than nationally. Locally, 65 seniors reported using drugs or alcohol within the past month, while 62 national seniors reported using them. Conduct a hypothesis test at the 5% level.NOTE: If you are using a Student's t-distribution for the problem, including for paired data, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.) What is the test statistic? (Round your answer to two decimal places.)

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS

Approximate Total Number of Participants Needed for 80% Power for the Chi-Square Test for Independence for Testing Hypotheses at the 0.05 Significance Level Effect Size Total df Small Medium Large 1 785 87 26 2 964 107 39 3 44 1,090 1,194 121 4. 133 48