for this projechs Collect at least 10 pairs. Of quantitative data and a hypothesis test for inear Corelation and also give the you will Conduct best predicted value of for A given valve of X.
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- Need help writing a null hypothesis for the bivariate relationship shown in the SPSS output.Suppose we want to compare the length of hospital stay for patients with the same diagnosis at two different hospitals. The results are shown in Table 9.10. A) Why might a t test not be very useful in this case? B)Carry out a nonparametric procedure for testing the hypothesis that lengths of stay are comparable in the two hospitalsAn urban community wants to show that the incidence of breast cancer is higher in their locality than in a neighboring rural area. (PCB levels were found to be higher in the soil of the urban community). If you find that in the urban community 20 out of 200 adult women have breast cancer and that in the rural community 10 out of 150 adult women have it, could you conclude, at a significance level of 0.05, that breast cancer is more prevalent in the urban community?1. The parameter of interest is:2. The hypotheses for this test are:3. The calculated test statistic is:4. The critical region is:5. Draw the critical region (make decision):6. It can be concluded that:
- When performing a Mann-Whitney Utest, one should always use the higher value of the calculated U values to compare to the critical U value while making the decision rule. True FalseIf the value of Cronbach’s alpha is 0.07, it means ___________; a. Research instrument is not reliable b. Research instrument is internally consistent c. Data is reliable d. Data is internally consistentData from the Motor Vehicle Department indicate that 80% of all licensed drivers are older than age 25. In a sample of n=50 people who recently received speeding tickets, 33 were older than 25 years and the other 17 were age 25 or younger. Is the age distribution for this sample significantly different from the distribution for the population of licensed drivers? Use alpha=0.5. A. what is the proposed analysis and why you chose this? B. Test assumptions and make a decision with evidence? C. Inferential statics and P values? D. Final decision and Conclusion?
- A commonly cited study says that 49% of students study less than 5 hours per week. A researcher does not think this is accurate and wants to show that the percentage of students that study less than 5 hours per week is not equal to 49%. Identify the null hypothesis, H0, and the alternative hypothesis, Ha, in terms of the parameter p.An aircraft company wanted to predict the number of worker-hours necessary to finish the design of a new plane. Relevant explanatory variables were thought to be the plane’s top speed, its weight, and the number of parts it had in common with other models built by the company. A sample of 27 of the company’s planes was taken, and the following model was estimated:y = β0 + β1x1 + β2x2 + β3x3 + εwherey = design effort, in millions of worker-hoursx1 = plane’s top speed, in miles per hourx2 = plane’s weight, in tonsx3 = percentage number of parts in common with other modelsThe estimated regression coefficients were as follows:b1 = 0.661 b2 = 0.065 b3 = -0.018and the estimated intercept was 2.0.Predict design effort for a plane with a top speed of Mach 1.0, weighing 7 tons, and having 50% of itsparts in common with other models.If a researcher wants to find out the average monthly expenses of all university students in Edmonton, this average would be an example of ________ . a. samplecross out b. statisticcross out c. populationcross out d. parameter
- Samples are collected from the River X and pH values are observed. 9 different pH values arelisted in table 3.Table 3Concentrations 4.2 3.8 6.0 3.5 8.1 4.9 4.1 3.2 4.0Draw box plot and finda. Bowley’s coefficient of skewnessb. Karl Pearson’s coefficient of skewnessc. Third momentRubricStages of Process MarksImagine and Plan 2Composition 2Effort 1Use the general equation for the least square regression line to show that this line always passes through the point (x,y) * bars above the x and y.That is, set x=x(with a bar above the x) and show that the line predicts that y=y (with a bar above the y).Suppose we want to compare the length of hospital stay for patients with the same diagnosis at two different hospitals. The results are shown in Table 9.10. 9.7 Why might a t test not be very useful in this case? 9.8 Carry out a nonparametric procedure for testing the hypothesis that lengths of stay are comparable in the two hospitals.