Gun deaths in Florida Number of murders committed using firearms 200 2005 Florida enacted its 'Stand Your Ground' law 400 600 721 800 873 1,000 1990s 2000s 12010s
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The graph below plots changes murders by firearms over time, focusing on the effects of a "Stand Your Ground" law, which made it legal for someone to use deadly force if they felt they were defending themselves "reasonably." How might this graph confuse people over the possible effects of the law?
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- There are two basic types of data in social science research: quantitative and qualitative. Which of the following statements is False? A. When done well, neither is easier to do than the other. B. Qualitative and quantitative research are often complementary, but no research should use both qualitative and quantitative data collection and analysis. C. Almost every broad topic can be studied qualitatively or quantitatively. D. In general, the specific research question that one develops within a topic area determines the type of data and method needed to answer it.Help please. I am extremely confused and do not understand this! Can I get help with all parts please?In general, a zero correlation means as the values of one variable increase, there is a tendency for the values of the other variable also to increase. as the values of one variable increase, there is a tendency for the values of the other variableto decrease. as the values of one variable increase, there is no tendency for the values of the other variable to change in any consistent, predictable fashion. as the values of one variable decrease, there is a tendency for the values of the other variable also to decrease.
- Time can be expressed on different levels of scale, including days, weeks, months, and years. Can the scale provided influence perception of time? For example, if you placed an order over the phone, would it make a difference if you were told the package would arrive in four weeks or in one month? To investigate this, two researchers asked a group of 267 college students to imagine that their car needed major repairs and would have to stay at the shop. Depending on the group they were randomized to, the student was either told it would take 1 month or 30/31 days. Each student was then asked to give best- and worst-case estimates of when the car would be ready. The interval between these two estimates (in days) was the response. Here are the results: Group 30/31 days In 177 20.4 14.3 1 month 90 24.8 13.9 Suppose you want to construct a 95% confidence interval for the difference in populations means (30/31 days minus 1 month). What would be the upper limit of the 95% confidence interval?…Answer for the following questionC. Give an example for each of the following: a. Two variables in which you have enough reasons to explain their cause-and-effect relationship. State the independent (x) and dependent variable (y). Provide also description of the cause-and-effect relationship. b. Two variables from which a considerable possible nature of linear correlation may exist. Explain briefly the possible nature of the relationship. State both variables and give a short description of their relationship.
- Suppose that there is a correlation of r = 0.41 between the amount of time that each student reports studying for an exam and the student's grade on the exam. This correlation would mean that there is a tendency for people who study more to get better grades. Question 21 options: True FalseA phrase often repeated in this class is "correlation is not causation". Which of the following best describes what this phrase means? Correlation is not causation means that just because two values appear to be related on a graph doesn't mean that one necessarily causes the other. Correlation is not causation means that when we see values that move together (e.g. ice cream sales and murder rates), we can assume that one must be causing the other. Correlation is not causation means that if values move in opposite directions (e.g. average temperature goes down and grades go up), we can assume that one must influence to the other. O Correlation is not causation means that when values are shown to be related in a graph, this is proof that they are not causal.A special education teacher did research on whether or not there is a relationship between the number of students in his class and the number incidents of “acting out” behaviors exhibited by the autistic students in the classroom. He collects data for a year and aggregates them by month. He obtained the statistics below, r= -.863 R2=.74 b= -1.212294 a= 131.176598 10.) How does the presence of more students affect the incidents in the class? a) as students are added the incidences increase b) as students are added the incidences decrease c) the number of students does not affect acting out d) the number of students caused more incidents How much of the variability of acting out is explained by the number of students in the class?___________
- The following data was collected from a clinical trial testing a new drug aimed to lower blood pressure for individuals older than age 45. Half of the 20 participants received the new drug (Treatment = Yes) and the other half of the participants received a placebo pill (Treatment = No). Their age and gender was also recorded. Please use this data for Questions 17-19 and 20-24 and note, not all the information in the table will be used for either problem, you must decide what is relevant based on what the problem is asking. Subject ID Treatment Age Gender BP_Before BP_After D1 Yes 65 F 103.3 80.5 D2 Yes 59 F 93.6 85.9 D3 Yes 60 M 92 85.2 D4 Yes 54 F 93 87.8 D5 Yes 65 F 95.4 85.3 D6 Yes 57 M 109.6 94.2 D7 Yes 69 M 97.9 83.9 D8 Yes 62 M 96 85 D9 Yes 49 F 98.4 86.3 D10 Yes 45 M 98.4 90 C1 No 63 F 97.4 93.1 C2 No 56…A gardener applied chemical "Z" to plants in a flower bed. (S)he observed that the plants grew dramatically during the next two weeks. Using only the information from the previous two sentences, write a hypothesis about the effect of chemical "Z" on plants. (Note: Your hypothesis must be a testable statement.) A researcher conducted a series of experiments to test the effect of chemical “Z” on plants. The data from the experiments is summarized in the graph below. (Image of the Graph attached.) Interpret the graph above. What did the researcher learn about the effect of chemical “Z?” Based on the researcher’s graph, what can you conclude about the hypothesis you wrote for Question 7 above?For each problem, select the best response. (a) In a scatterplot of the average price of a barrel of oil and the average retail price of a gallon of gasoline, you expect to see A. a positive association. B. very little association. C. a negative association. D. None of the above. (b) If the correlation between two variables is close to 0, you can conclude that a scatterplot would show A. a cloud of points with no visible pattern.B. no straight-line pattern, but there might be a strong pattern of another form. C. a strong straight-line pattern. D. None of the above. (c) You have data for many years on the average price of a barrel of oil and the average retail price of a gallon of unleaded regular gasoline. When you make a scatterplot, the explanatory variable on the x -axis A. is the price of gasoline. B. can be either oil price or gasoline price. C. is the price of oil. D. None of the above.
