State whether the following statements are true or false and give a brief explanation. (Note that no marks will be given without explanation.) a) A research is conducted to study the relationship between two variables. The two variables are: (i) the occupations of employees, and (ii) the happiness scores of employees. It is noted that the occupation is at nominal level and the happiness score is at interval level. To perform the analysis, the chi-square test should be used. b) You are given that the coefficient of determination of two variables is 35%. So, it can be concluded that the slope of the regression line for the two variables is positive.
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- If Elliot collects data from a single sample and her dependent variable is assessed on a nominal scale, which of these difference tests would Elliot need to use to analyze her data? a. single sample t test b. between-subjects, one-way ANOVA. c. chi square goodness of fit test d. single-sample z testIn order to meet air pollution standards, the mean emission level for engines of a certain type must be less than 20 parts per million (ppm) of carbon. A study is to be done to determine if the engines from a particular company meet the standard. Which of the following represents the correct null and alternative hypotheses for this study? Let μ=μ= the mean parts/million of carbon emitted for these cars. a.H0:μ=20;Ha:μ>20H0:μ=20;Ha:μ>20 b.H0:μ≥20;Ha:μ>20H0:μ≥20;Ha:μ>20 c.H0:μ=20;Ha:μ≥20H0:μ=20;Ha:μ≥20 d.H0:μ≥20;Ha:μ<20H0:μ≥20;Ha:μ<20 e.H0:μ>20;Ha:μ<201.Consider the accompanying data on and (%) at failure of the cheese. [Note: Theresearchers were Italian and used real mozzarella cheese, not the poor cousin widelyavailable in the United States.]a. Construct a scatter plot.b. What does the plot suggest about the nature of the relationship between the twovariables?c. Calculate coefficient of correlation between x and y. Comment on the result. 2.Scraps of iron were selected on the basis of their densities, x, and their iron contents, y,were measured. The results were as follows:x 2.8 2.9 3.0 3.1 3.2 3.2 3.2 3.3 3.4y 27 23 30 28 30 32 34 33 30(i) Plot the data(Scatter Diagram)9 | P a g e(ii) Find the regression equation of y on x by the method of least squares(iii) Comment on Goodness of fit of the fitted line(iv) Predict y for given x=3.5
- In which of the following scenarios would it be best to use r squared (the coefficient of determination) instead of r? A. When a researcher is trying to determine the validity of a new cognitive test by correlating scores obtained on the test to score is obtained using the well known mini mental state exam scores. B. When a researcher is evaluating the interrater reliability of a test by comparing scores from one rater to scores of another rater. C. When a researcher is making a prediction about the level of caregiver burden in a community based on the level of income of most participants in the community. D. None of the above.if the Null Hypothesis is "There is no relationship between gender and level of productivity" then based on the table we can conclude that "there is relationship between gender and level of productivity". A. True B. FalseWhich of the following statements concerning internal reliability is correct? A. When reliability approaches 1, you shoukd become concerned B.When cronbacch's alpha is .65, 35% of the observed score is a measurement error
- Consider the following difference-in-differences estimator for the effect of a newgarbage incinerator on housing values. Rumor of a new incinerator being built in a townin Massachusetts began after 1978, and construction began in 1981. You have data onprices of houses that sold in 1978, and another sample of those that sold in 1981. Youdefine a dummy variable (y81) as equal to 1 if the house sold in 1981, and zero if thehouse sold in 1978. Your hypothesis is that the price of houses located near theincinerator will fall across those years relative to the price of more distant houses. Youdefine a house as being near the incinerator (nearinc) if it is within 3 miles of it. Housingprice (price) is measured in real terms, in 1978 dollars. You estimate the followingregression (standard errors are in parentheses): price = 82,517.23 + 18,790.29y81 -18,824.37nearinc (2,726.91) (4,050.07) (4,875.32) -11,863.90(y81 * nearinc) (7,456.65) n=321 Interpret the coeffiecient…Pet Owners A study of pet owners showed the following information concerning the ownership of the dogs and cats. At =α0.10 , is there a relationship between the number of people in a family and dog or cat ownership? Use the critical value method with tables. 1 person 2 people 3 people 4 or more people Dog 5 15 10 25 Cat 10 15 15 15 1)State the hypotheses and identify the claim. H0: Pet ownership is ▼(DEPENDANT ON or INDEPENDANT OF?) the number of people living in the household. (CLAIM OR NOT CLAIM?) H1 : Pet ownership is (DEPENDANT ON or INDEPENDANT OF?) the number of people living in the household. (CLAIM OR NOT CLAIM?) 2. Find the critical value 3. Compute the test value: X^2= 4. Reject or Do not reject the null hypothesis 5. Summarize: Is there or is there not enough evidence to reject the claim?Is there or is there not enough evidence to support the claim?Which of the following statements would be appropriate to investigate a claim that the mean speed of drivers through town exceeds the posted limit of 30 miles per hour? Group of answer choices The null hypothesis states the mean speed of drivers in this town is less than 30 miles per hour. The null hypothesis states the mean speed of drivers in this town is greater than 30 miles per hour. The alternative hypothesis states the mean speed of drivers in this town is greater than 30 miles per hour. The alternative hypothesis states the mean speed of drivers in this town is less than 30 miles per hour. The alternative hypothesis states the mean speed of drivers in this town is less than or equal to 30 miles per hour.