A study was conducted to determine the proportion of people who dream in black and white instead of color. Among 295 people over the age of 55, 62 dream in black and white, and among 292people under the age of 25, 13 dream in black and white. Use a 0.05 significance level to test the claim that the proportion of people over 55 who dream in black and white is greater than theproportion for those under 25. Complete parts (a) through (c) below.VIV UV niv ugoעץ יט וקווסס uit ~~ w טוקוunס סחורVVTIOIUVI MIhypothesis test?OA. Ho: P₁ P2H₁: P₁ = P2OD. Ho: P1 P2H₁: P₁ P₂Identify the test statistic.z = 6.01(Round to two decimal places as needed.)Identify the P-value.P-value = 0.000(Round to three decimal places as needed.)What is the conclusion based on the hypothesis test?OB. Ho: P1H₁: P₁P2P2OE. Ho: P₁ SP₂H₁: P₁ P₂b. Test the claim by constructing an appropriate confidence interval.The 90% confidence interval is < (P₁-P₂) <-(Round to three decimal places as needed.)...e sample is sample pie ayu viC. Ho: P₁ = P₂H₁: P₁P2OF. Ho: P₁ P2H₁: P₁ P₂OLY TYPE SThe P-value is less than the significance level of a = 0.05, so reject the null hypothesis. There is sufficient evidence to support the claim that the proportion of people over 55 whodream in black and white is greater than the proportion for those under 25.

Claim: The proportion of people over 55 who dream in black and white is greater than the proportion…

Answered: A study was conducted to determine 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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10. Is there a relationship between marital status and happiness? In the 2006 General Social Survey, 2985 randomly sampled individuals were asked their level of happiness and marital status. The results are shown below. Test the claim that happiness and marital status are independent. Married Widowed Divorced/Separated Never Married Very Happy Pretty Happy Not Too Happy 600 63 112 144 720 142 355 459 93 51 119 127 bobnog
.
lecture(12.10c): When we are comparing three or more groups we use the.....................................When we want to uncover a relationship between two assessments ,we use the-----------------------------.and we use the -----------------------to determine if two categories are related.
10. Determine if the number of absences incurred by a student is related to his or her final test score in a Statistics class. The data obtained in a study is from seven randomly selected students. No. of Absences, x 6. 15 9. 12 8. Final grade, y 82 86 43 74 58 90 78 41 16.4
2) Three sections of the same elementary mathematics course are taught by 3 teachers. The final grades were recorded in the table. Is there a significant difference in the average grades given by the 3 teachers? Use a 0.05 level of significance. Teacher A В C 73 88 68 89 78 79 82 48 56 43 91 91 80 51 71 73 85 71 77 41 31 59 78 76 90 80
A sociologist is interested in studying the relationship between education and crime. She randomly selects 332 people and asks them their education level and whether or not they have ever been convicted of a felony. Is there evidence that education level and crime are dependent? Education Level No Felony Conviction Felony Conviction Total Less than 99 years 95 12 107 99 years - 1212 years 86 11 97 1212 years - 1616 years 59 7 66 16+16+ years 56 6 6262 Total 296 36 332 Copy Data Step 4 of 8 : Find the value of the test statistic. Round your answer to three decimal places.
What is an inherent zero? Describe three examples of data sets that have inherent zeros and three that do not. A. An inherent zero is a value that the variable can take. B. An inherent zero is a zero that implies none. OC. An inherent zero is a zero that occurs in the data set naturally. Select three examples of data sets that have inherent zeros below. A. Maximum wind speed during a hurricane B. Average age of college students in years C. A student's level of happiness measured from 0 to 10 D. Temperature in degrees Fahrenheit E. Average IQ score of a high school class F. Average monthly precipitation in inches Select three examples of data sets that do not have inherent zeros below. A. Average IQ score of a high school class B. A student's level of happiness measured from 0 to 10 C. Average monthly precipitation in inches D. Temperature in degrees Fahrenheit E. Maximum wind speed during a hurricane F. Average age of college students in years
A researcher is interested in determining if there is a relationship between handedness and penmanship. To study this question, the researcher submitted samples from 100 students to penmanship experts. The samples were rated to be of low, medium or high penmanship quality. The observed frequencies were totaled according to left verses right handedness. Penmanship Handedness low medium high Left 8 29 6 right 9 37 11 Which test is appropriate for this data? Why? Calculate row, column and table totals. State the null and alternative hypothesis. What is the degree of freedom? What is the value of the test statistic? What is the p-value? Are the data statistically significant at the 5% significance level? Do you recognize any flaws in this study
490 undergraduate students at a state university in the southwestern region of the United States were surveyed. Each student in the sample was classified according to class standing (freshman, sophomore, junior, or senior) and body are category (body piercings only, tattoos only, both tattoos and body piercings, no body art). Use the data in the accompanying table to determine if there is an association between class standing and body art category. Assume that it is reasonable to regard the sample as representative of the students at this university. Use α = 0.01. 1. What type of question is this-estimation or hypothesis?2. What type of study is this sample data or experiment data?3. What type of data is this? Univariate or bivariate? Categorical or Numerical?4. How many samples or treatments?
An appropriate measure of association for wondering whether gender (male =1, female =2) has an effect on happiness( not too happy =1, pretty happy =2, and very happy =3) would be?

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