H0: Ud is greater than or equal to 0 Ha: Ud is less than 0 Decide whether to reject H0 or not. Explain in complete sentence. Find the confidence interval of the mean difference. Interpret the interval. 
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- R Studio library(poliscidata) 2. (Dataset: nes. Variables: dhsinvolv_message, polknow_combined.) Online political activism is a relatively new phenomenon. In recent years, online social networks like Facebook and Twitter have become part of our everyday experiences and, for many people, a forum for political news and debate. From your own personal experiences, you may have some impressions about who is likely to post political messages online, but our personal perspectives are bound to be limited and incomplete. Let's use the nes dataset to gain a better understanding of who uses social media to promote political ideas. Survey participants were asked whether they had posted a political message on Facebook or Twitter in the last 4 years and the dhsinvolv_message variable recorded their responses. 1. According to the nes dataset, roughly 20% of respondents indicated that they had posted a social media message about politics in the past 4 years. If the probability of an…Lily Energy Systems manufactures wood-burning heaters and fireplace inserts. One of its systems has an electric blower, which is thermostatically controlled. The blower is designed to automatically turn on when the temperature in the stove reaches 125°F and turn off at 85°F. Complaints from customers indicate that the thermostat control isn't working properly. The company feels that the thermostat is acceptable if the variance in the cutoff temperature is less than or equal to 175. The company takes a sample of 24 thermostats and finds that the variance equals 289. The calculated chi-square test statistic and the table value for a 0.05 significance level are a. 38.076, 38.99. b. 37.983, 38.076. c. 37.983, 35.172. d. 35.172, 38.99Suppose researchers at an abdominal transplant clinic are concerned about the rate of graft loss due to diabetes status prior to receiving a donor kidney. Research has shown that gender discordance, or receiving a gender from a donor of an opposite gender may increase the risk of both exposure and outcome after transplant. Assume the following tables represent the stratified analysis of the potential confounding variable. (9 points) Gender Discordance Graft Failure No Graft Failure Total Diabetes II 23 10 33 No Diabetes II 4 44 48 Total 27 54 81 Gender Concordance Graft Failure No Graft Failure Total Diabetes II 9 34 43 No Diabetes II 12 87 99 Total 21 121 142 A) Calculate the stratum specific estimates for the odds ratios in each strata. B) Observe the difference in the odds ratios. Based on observation alone, what are we likely to conclude regarding the relationship between outcome and exposure…
- Data Table Faculty: 2 3 1 0 1 2 4 3 3 2 1 Student: 6 7 9 3 8 11 2 5 7 11 10 b. Give the five-number summary and draw a boxplot for each of the two data sets. Give the five-number summary for faculty parking. low= lower quartile= median= upper quartile= high=Give two examples of primary and secondary data Primary 1. 2. Secondary 1. 2Identical twins come from a single egg that split into two embryos, and fraternal twins are from separate fertilized eggs. Also, identical twins must be of the same sex and the sexes are equally likely, and sexes of fraternal twins are equally likely. Use the data table to complete parts (a) and (b) below. boy/boy boy/girl girl/boy girl/girl Identical twins 1 0 0 1 Fraternal twins 10 10 10 10 a. After having a sonogram, a pregnant woman learns that she will have twins. What is the probability that she will have identical twins? b. After studying the sonogram more closely, the physician tells the pregnant woman that she will give birth to twin boys. What is the probability that she will have identical twins? That is, find the probability of identical twins given that the twins consist of two boys.
- You are a consultant to EAI and you have received the data on theannual salaries of 2500 managers. Some of these managers have alsoindicated that they have received some training. Conduct theappropriate descriptive analyses and present a report that willenable EAI to understand its operations. The link to the data is: https://drive.google.com/file/d/1KluyxHQdEsVNA38_EWPcEgKUJomm9b67/viewCrop rotation is the practice of planting dissimilar crops sequentially in one locationto avoid the depletion of nutrients. A researcher conducted an experiment withsoybeans: they used crop rotation on 15 plots and left another 15 with no rotation. i. The researcher attaches particular importance to the reliability of theharvest as well as the actual harvest. Set out two descriptive statisticsthat could be useful to capture reliability. ii. Below are the number of pounds of soybeans harvested from each plot.Draw a boxplot to explain the data and explore any differencesbetween the two plots. (Do not carry out formal tests or confidenceintervals.) Crop rotation: 37, 42, 44, 46, 41, 39, 29, 31, 37, 41, 42, 45, 38 , 42, 33 No rotation: 29, 35, 34, 27, 31, 36, 41, 40, 37, 29, 31, 36, 24, 23, 22a. Find the equation of the least-squares line for the data. Rounds constants to the nearestt thousandth b. Use the equation from part a to predict the retail price of a 2010 Corvette with anodometer reading of 30,000. c. Find the linear correlation coefficient of these data.
- During a particularly dry growing season in a southern state, farmers noticed that there is a delicate balance between the number of seeds that are planted per square foot and the yield of the crop in pounds per square foot. The yields were the smallest when the number of seeds per square foot was either very small or very large. The data in the table show various numbers of seeds planted per square foot and yields (in pounds per square foot) for a sample of fields. A 2-column table with 15 rows. Column 1 is labeled number of seeds (per square foot) with entries 28, 75, 30, 43, 71, 35, 40, 59, 66, 79, 85, 81, 16, 33, 16. Column 2 is labeled yield (pounds per square foot) with entries 131, 171, 132, 166, 169, 150, 161, 183, 173, 161, 147, 157, 86, 145, 86. Which scatterplot represents the seed and yield data? A graph titled number of Seeds and Crop Yield has seeds (per square foot) on the x-axis, and yard (pounds per square foot) on the y-axis. The points curve up to a point, and…Strategic Management relates a study in economies of scale in the paper industry. the data is found in the following table. x 50 60 73 82 90 215 230 260 y 1.8 1.6 1.5 1.25 0.95 0.60 0.50 0.54 Here x is the weighted average machine size in tons per hour, and y is the employee-hours per ton.A. Determine the best-fitting line using least squares and the square of the correlation coefficient.The best-fitting line is W(x) = .The square of the correlation coefficient is r2 = .B. Is there an advantage to using a large machine? Pick the correct answer. The larger the machine, the less employee-hours.The larger the machine, the more the employee-hours. The smaller the machine, the less the employee-hours.The larger the machine, the employee-hours do not change. C. What does this model predict the weighted average machine size will be is the employee-hours per ton is 1.00? (Round to the nearest ton.)The machine will make tons for 1 employee-hour per ton.The data set hemorrhage.sav contains a sample of 100 low birth weight infants born in Boston, Massachusetts. Germinal matrix hemorrhage (gmh) is a dichotomos variable that coded as 1 if the baby had a hemorrhage and 0 if the baby did not have a hemorrhage. (See the attached image) You wish to know if gestational age, systolic blood pressure (sbp), and gender predicts hemorrhage. What are the null and alternative hypotheses for this analysis? (hint: there should be 4 sets) Is the model as a whole significant? How do you know? Regardless if the variables are significant interpret the odds ratio for gender, sbp, and gestational age.