In investigating whether giving chestcompression only [CC] instructions rather than standard cardiopulmonary resuscitation (CPR) instructions to the witness of a heart attack will improve the victim's chance of surviving. The results from 3 randomized experiments were combined. In each experiment. the emergency services dispatcher randomly assigned either CC or CPR instructions to the bystander who was at the site where a person had just experienced a heart attack. They found that of the 1500 cases where CC instructions had been given. 218 people had survived. whereas out of the 1541 cases where standard CPR instructions had been given, the number was 183. Question 1 1 pts What is the explanatory variable in this experiment? Edit View Insert Format Tools Table 14ptv Paragraphv B I 9 iv V T2v Is the explanatory variable categorical or quantitative? quantitative categorical What is the response variable for this experiment? Edit View Insert Format Tools Table 14ptv Paragraphv B I 9 iv iv Tzv E Question 4 0.5 pts Is the response variable categorical or quantitative? quantitative categorical Question 5 Which of the following is an appropriate null hypothesis for this experiment? The probability of surviving a heart attack after being given chest compression [CC] is different than the probability of surviving a heart attack after being given CPR. The probability of surviving a heart attack after being given chest compression [CC] is greater than the probability of surviving a heart attack after being given CPR. The probability of surviving a heart attack after being given chest compression [CC] is the same as the probability of surviving a heart attack after being given CPR. The probability of surviving a heart attack after being given chest compression [CC] is less than the probability of surviving a heart attack after being given CPR. Question 6 Which of the following is an appropriate alternative hypothesis for this experiment? The probability of surviving a heart attack after being given chest compression [CC] is less than the probability of surviving a heart attack after being given CPR. The probability of surviving a heart attack after being given chest compression [CC] is greater than the probability of surviving a heart attack after being given CPR. The probability of surviving a heart attack after being given chest compression [CC] is the same as the probability of surviving a heart attack after being given CPR. The probability of surviving a heart attack after being given chest compression [CC] is different than the probability of surviving a heart attack after being given CPR. Question 7 Explain why it is valid to use the theory-based approach to test the hypotheses stated above. Edit View Insert Format Tools Table 14ptv Paragraphv B I U iv gv Tzv 3 In using an applet to obtain a p-value to test the above hypotheses. I found a p-value of 0.0303 with a standardized statistic of 2.17. The theory-based 95% condence interval was (0.0025, 0.0506]. State a complete conclusion about the study. Be sure to address signicance. estimation. causation, and generalization. Edit View Insert Format Tools Table 14ptv Paragraphv B I U 5" V T2v p (B Owords >/ Question 9 1 pts The following set of scores was obtained from a quiz: 4. 5. 8. 9. 11. 13, 15. 18, 18, 18, 20. The teacher computes the usual descriptive measures of tendency and spread for these data and then discovers that an error was made. One of the 185 should have been a 16. Which of the following measures will NOT need to be changed from the original computations? [There may be more than one correct answer.) standard deviation Median They will all need to be changed. IQR Mean A group of students taking an introductory statistics course in California were asked to guess the population of Milwaukee, Wisconsin. Some of the students were randomly chosen to be told that the nearby city of Chicago. Illinois has a population of about 3 million people, while the rest of the students were told that the nearby city of Green Bay, Wisconsin, has a population of about 100,000. Previous studies have shown that these numbers serve as a psychological anchor, so people told about Chicago tend to guess a higher population for Milwaukee than people told about Green Bay. The purpose in analyzing the data is to see if we nd strong evidence of this phenomenon among students like the ones in this study. Question 10 1 pts Identify the observational units. Question 11 Identify the explanatory and response variables and classify each as categorical or quantitative. Explanatory variable [ Choose ] Is the explanatory variable categorical or quantitative? [ ChDDSE ] Response variable [ Choose ] Is the response variable categorical or quantitative? [ Choose ] Question 12 Is this an observational study or an experiment? No answer text provided. No answer text provided. experiment observational study Question 13 The subjects in this study were randomly selected from a population. True False Question 14 The subjects in this study were randomly assigned to groups. True False Question 14 1 pts The subjects in this study were randomly assign ed to groups. " True " False Question 15 The following is the summary data for the guesses made about Milwaukee's population by the city hey were told about; sample size sample mean sample SD [x1000} [x1000} Chicago 35 1357 Green 34 271 Bay Find and report the difference in the average guess made by those told about Chicago and those told about Green Bay. E Question 16 Our research question for this study: On average, will students like the ones in the study tend to guess a higher population size for Milwaukee if they are told about Chicago's population size rather than told Green Bays population size? What is the null hypothesis for this study? [ Choose] What is the altemative hypothesis for this study? [ ChDDSE ] [ Choose ] [ Choose ] Question 17 4 pts After running the applet on the data, the following results were found: p-value