Directions: Determine whether each research topic below is univariate or bivariate1. Socio-economic status of SHS students2. IQ level and career preferences3. Mathematics vocabulary level and math grades4. Ages of COVID-19 patients5. Ages of COVID-19 patients and days of recovery6. Annual net income of a television network7. Amount spent in an advertisement and gross sales8. Learning modality preferences of SHS students9. Time spent in reviewing and test scores10. Monthly electricity consumption

Univariate and Bivariate Research Topics

Answered: Directions: Determine whether each…

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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Determine whether there is a significant difference on the perceived capabilities in research when grouped according to religious affiliation. Religious Perceived Capabilities Affiliation Christian 4.2 4.2 1.5 Buddhism 3.5 5.0 4.8 Hinduism 1.6 3.2 3.9
4. Due to the alarming cases of Covid-19, a researcher wanted to study the characteristics of the patients in NCR infected by the virus. Lilliefors, a researcher, considered the following variables: M: age bracket (0-19, 20-39, 40-59, 60 and above) N: last country visited in the past 3 months what is variable M and N? M: Qualitative or Quantitative? N: Qualitative or Quantitative?
An important factor in selecting software for word-processing and database management system is the time required to learn how to use the system. To evaluate three file management systems, a firm designed a test involving five word-processing operators. Since operator variability was believed to be a significant factor, each of the five operators was trained on each of the three file management systems. The data obtained follow. Operator System A B C 1 16 16 24 2 19 17 22 3 14 13 19 4 13 12 18 5 18 17 22 Use α = 0.05, test to see whether there is any difference in the mean training time (in hours) for the three systems.
The following table is from a publication. The individuals in the following table have an eye irritation, a nose irritation, or a throat irritation. They have only one of the three. Is there sufficient evidence to reject the hypothesis that the type of ear, nose, or throat irritation is independent of the age group at a level of significance equal to 0.05? Age (years) Type of Irritation 18-29 30-44 45-64 65 and Older Eye 422 560 340 54 Nose 932 1324 802 101 Throat 247 309 142 24 (a) Find the test statistic. (Round your answer to two decimal places.)(ii) Find the p-value. (Round your answer to four decimal places.)(b) State the appropriate conclusion. Reject the null hypothesis. There is not significant evidence that this sample contradicts the claim of independence.Reject the null hypothesis. There is significant evidence that this sample contradicts the claim of independence. Fail to reject the null hypothesis. There is not significant…
7) The following results are from data that were collected from a sample of Chicago Cubs baseball games. The dependent variable is ATTENDANCE, TEMP is a variable measuring the forecasted game-time temperature: WIN% is a variable measuring the winning percentage of the Cubs before the game is played, OPWIN% is a variable measuring the winning percentage of their opponent, WEEKEND is a dummy variable = 1 if the game is played on a weekend and = 0 if the game is played during a weekday, PROMOTION is a dummy variable = 1 if there is a promotion for the game (giving away something to those who attend the game) and = 0 if there is not a promotion, and WEEK*PROM is an interaction term equal to WEEKEND*PROMOTION. a) What is the predicted attendance if TEMP = 70, WIN% = 500, OPWIN% = 500, the game is played on a weekend and there is NO promotion? b) What is the predicted attendance if TEMP = 70, WIN% = 500, OPWIN% = 500, the game is played on a weekend and there is a promotion? c) Based on…
How would you interpret these results? 1. The effect of gender caused different levels of Stroop tas performance at different ages. 2. The effect of age caused different levels of Stroop task performance in men than women. 3. The interaction between gender and age did not affect Stroop task performance. 4. a and b 5. None of the above.
I need help with 4 and 7
The racial/ethnic diversity of post high school students enrolled at MVCC during the fall 2020 semester is given below. Racial/Ethnic Diversity of Post High School Students Race/Ethnicity Percent* American Indian or Alaska Native 0.4% Asian 5.3% Black or African American 9.6% Hispanic or Latino 9.6% Two or more races 2.8% Native Hawaiian or Pacific Islander <0.1% Non-Resident Alien 0.5% Unknown 1.5% White 70.2% (*Percentages may not total 100 due to rounding) What is the race/ethnicity of the majority of students at MVCC? What total percent of students were either Black or African American or Hispanic or Latino? There were 3,444 students enrolled at MVCC at the time of the study. How many (not percent) students were Asian? (The answer must be a whole number.)
Statistics students in Oxnard College sampled 11 textbooks in the Condor bookstore and recorded the number of pages in each textbook and its cost. The data are shown below: Number of Pages (xx) Cost(yy) 936 129.68 971 124.23 458 62.54 487 73.31 647 97.11 648 98.24 869 115.97 774 113.62 426 61.38 671 91.23 658 83.54 A student calculates a linear model using technology (Statistics Calculator or Computer)ˆyy^ = xx + . (Please show your answers to two decimal places)Use the model to estimate the cost when number of pages is 583.Cost = $ (Use the linear model with yor rounded coefficients and then round your answer to 2 decimal places.)
Interaction a. What is an interaction between two factors? b. In general, when using two-way analysis of variance, if we find that there is an interaction effect, how does that affect the procedure? c. Shown below is an interaction graph constructed from the data in Exercise 1. What does the graph suggest?
The racial/ethnic diversity of post high school students enrolled at MVCC during the fall 2020 semester is given below. Racial/Ethnic Diversity of Post High School Students Race/Ethnicity Percent* American Indian or Alaska Native 0.4% Asian 5.3% Black or African American 9.6% Hispanic or Latino 9.6% Two or more races 2.8% Native Hawaiian or Pacific Islander <0.1% Non-Resident Alien 0.5% Unknown 1.5% White 70.2% (*Percentages may not total 100 due to rounding) Is race/ethnicity a qualitative or quantitative variable Is the data displayed in a frequency or relative frequency distribution?
How are the data search the same? How do they differ? A.) The three data sets have the same mean and mode but have different medians and standard deviations. B.) The three data sets have the same standard deviations but have different means. C.) The three data sets have the same mean, median and mode but have different standard deviations. D.) The three data sets have the same mode but have different standard deviations and means.

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