H₁:O The distribution of hair color is not the same for each body type.O The distribution of hair color is the same for each body type.O Hair color and body type are independent.O Hair color and body type are dependent.c. The test-statistic for this data =d. The p-value for this sample:=e. The p-value is Select an answerf. Based on this, we shouldO fail to reject the nullOreject the nullO accept the null(Please show your answer to three decimal places.)(Please show your answer to four decimal places.)g. Thus, the final conclusion is...O There is sufficient evidence to conclude that hair color and body type are independent.OThere is insufficient evidence to conclude that the distribution of hair color is not the same for each bodytype.OThere is sufficient evidence to conclude that the distribution of hair color is not the same for each bodytype.There is sufficient evidence to conclude that hair color and body type are dependent.O There is insufficient evidence to conclude that hair color and body type are dependent. Is there an association between hair color and body type? The table below shows the results of a researcher's observations ofrandomly selected people.Frequencies of Hair Colors for Various Body TypesBlondeBrunetteRed Head8498611105349Short and SlenderShort and PudgyTall and SlenderTall and HeavyWhat can be concluded at the a = 0.05 significance level?a. What is the correct statistical test to use?O IndependenceO HomogeneityO Goodness-of-FitO Paired t-test10910760807863b. What are the null and alternative hypotheses?Ho:O Hair color and body type are independent.O The distribution of hair color is the same for each body type.O Hair color and body type are dependent.O The distribution of hair color is not the same for each body type.H₁:O The distribution of hair color is not the same for each body type.

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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 case-control (or retrospective) study was conducted to investigate a relationship between the colors of helmets worn by motorcycle drivers and whether they are injured or killed in a crash. Results are given in the accompanying table. Using a 0.01 significance level, test the claim that injuries are independent of helmet color. D Black Color of Helmet Yellow 32 Blue White 331 Controls (not injured) Red 159 482 100 Cases (injured or 211 109 8 65 47 killed) Click here to view the chi-square distribution table. Identify the null and alternative hypotheses. Choose the correct answer below. O A. Ho: Whether a crash occurs and helmet color are dependent H₁: Whether a crash occurs and helmet color are independent OB. Ho: Injuries and helmet color are dependent H₁: Injuries and helmet color are independent OC. Ho: Whether a crash occurs and helmet color are independent H₁: Whether a crash occurs and helmet color are dependent O D. Ho: Injuries and helmet color are independent H₁: Injuries…
A psychologist is interested in testing whether there is a difference in the distribution of personality types for business majors and social science majors. The results of the study are shown below. Personality Frequencies for Business and Social Science Majors Open Conscientious Extrovert Business 98 55 70 Social Science 100 64 107 What can be concluded at the a = 0.10 significance level? a. What is the correct statistical test to use? Paired t-test O Independence Homogeneity Goodness-of-Fit b. What are the null and alternative hypotheses? Ho: H₁: The distribution of personality types for business majors is not the same as it is for social science majors. O Personality type and major are dependent. Personality type and major are independent. The distribution of personality types for business majors is the same as it is for social science majors. Personality type and major are dependent. The distribution of personality types for business majors is the same as it is for social science…
A case-control (or retrospective) study was conducted to investigate a relationship between the colors of helmets worn by motorcycle drivers and whether they are injured or Question Viewer h. Results are given in the accompanying table. Using a 0.01 significance level, test the claim that injuries are independent of helmet color. Color of Helmet Black White Yellow 479 334 30 200 104 8 Controls (not injured) Cases (injured or killed) Click here to view the chi-square distribution table. H₁: Whether a crash occurs and helmet color are dependent B. Ho: Whether a crash occurs and helmet color are dependent H₁: Whether a crash occurs and helmet color are independent C. Ho: Injuries and helmet color are independent H₁: Injuries and helmet color are dependent Ho: Injuries and helmet color are dependent H₁: Injuries and helmet color are independent Compute the test statistic. Red 152 65 (Round to three decimal places as needed.) Blue 98 46
Winning team data were collected for teams in different sports, with the results given in the accompanying table. Use a 0.05 significance level to test the claim that home/visitor wins are independent of the sport. Given that among the four sports included here, baseball is the only sport in which the home team can modify field dimensions to favor its own players, does it appear that baseball teams are effective in using this advantage? Click the icon to view the data table. Determine the null and alternative hypotheses. Choose the correct answer below. OA. Ho: Basketball games are more likely to win at home than any other sport. H₁: Basketball games are not more likely to win at home than any other sport. OB. Ho: Basketball games are not more likely to win at home than any other sport. H₁: Basketball games are more likely to win at home than any other sport. OC. Ho: The home/visitor win is independent of the sport. H₁: The home/visitor win is not independent of the sport. O D. Ho: The…
The table below lists body temperatures obtained randomly selected subjects. The temperatures are categorized according to gender and whether the subject uses drug. Using a 0.05 significance level, test for an interaction between gender and usage of drug, test for an effect from gender, and test for an effect from usage of drug. What do you conclude? Use Drug Does Not Use Drug Male 98.4 97.4 96.8 98.2 98.4 97.4 97.4 98.0 Female 98.6 99.3 98.2 98.6 97.0 98.4 97.2 98.7
K Winning team data were collected for teams in different sports, with the results given in the accompanying table. Use a 0.05 significance level to test the claim that home/visitor wins are independent of the sport. Given that among the four sports included here, baseball is the only sport in which the home team can modify field dimensions to favor its own players, does it appear that baseball teams are effective in using this advantage? Click the icon to view the data table. Determine the null and alternative hypotheses. Choose the correct answer below. OA. Ho: The home/visitor win is independent of the sport. H₁: The home/visitor win is not independent of the sport. OB. Ho: Basketball games are not more likely to win at home than any other sport. H₁: Basketball games are more likely to win at home than any other sport. OC. Ho: The home/visitor win is dependent on the sport. H₁: The home/visitor win is not dependent on the sport. OD. Ho: Basketball games are more likely to win at…
Is there an association between hair color and body type? The table below shows the results of a researcher's observations of randomly selected people. Frequencies of Hair Colors for Various Body Types Blonde Brunette Red Head Short and Slender 73 90 43 Short and Pudgy 110 108 70 Tall and Slender 53 99 70 Tall and Heavy 60 106 78 What can be concluded at the αα = 0.05 significance level? What is the correct statistical test to use? Independence Goodness-of-Fit Paired t-test Homogeneity What are the null and alternative hypotheses?H0:H0: The distribution of hair color is not the same for each body type. Hair color and body type are dependent. The distribution of hair color is the same for each body type. Hair color and body type are independent. H1:H1: The distribution of hair color is the same for each body type. The distribution of hair color is not the same for each body type. Hair color and body type are independent. Hair color and body type are…
in studying the occurrence of genetic characteristics, the following sample data were obtained. At a 0.05 significance level, test the claim that the characteristics occur with the same frequency. (12) Characteristic A B C D E F__ Frequency 28 30 45 48 38 39
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The type of household for the U.S. population and for a random sample of 411 households from a community in Montana are shown below. Observed Number of Households in the Community Percent of U.S. Type of Household Households Married with children 26% 110 Married, no children Single parent One person Other (e.g., roommates, siblings) 29% 101 32 25% 98 11% 70 Use a 5% level of significance to test the claim that the distribution of U.S. households fits the Dove Creek distribution. (a) What is the level of significance? State the nul and alternate hypotheses. O Ho: The distributions are different. H: The distributions are the same. O Hg: The distributions are the same. H: The distributions are different. O Hg: The distributions are the same. H: The distributions are the same. O Hg: The distributions are different. H: The distributions are different. (b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to two decimal places. Round the test…
The data below show sport preference and age of participant from a random sample of members of a sports club. Is there evidence to suggest that they are related? Frequencies of Sport Preference and Age Tennis Swimming Basketball 18-25 87 83 85 26-30 98 93 89 31-40 66 66 56 Over 40 55 89 58 What can be concluded at the a = 0.10 significance level? a. What is the correct statistical test to use? Homogeneity Independence Paired t-test Goodness-of-Fit b. What are the null and alternative hypotheses? Ho The age distribution is not the same for each sport. Age and sport preference are dependent. The age distribution is the same for each sport. O Age and sport preference are independent. H₁: The age distribution is not the same for each sport. Age and sport preference are dependent. Age and sport preference are independent. The age distribution is the same for each sport. c. The test-statistic for this data = d. The p-value for this sample = e. The p-value is Select an answer α (Please show…
A random sample of 50 pieces of candy from a bag of assorted types is examined. Which of the following types of candy contributes the most to the chi-square statistics and why?

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