InstructionsPart 1: Using the Gun Control dataset complete the following tasks:Run a t-test on the variables: OwnGun, AmericanOwn.Identify the:null hypothesis.research hypothesis.t-statistic.degrees of freedom.p-value.Summarize your findings.Part 2: Using the Gun Control dataset complete the following tasks:Run an ANOVA on the variables: Religion, AmericanOwn.Identify the:null hypothesis.research hypothesis.F-statistic.degrees of freedom.p-value.Summarize your findings.

1. You randomly survey people in the mall about whether or not they regularly use text messaging. The results are shown in the tally sheets below based on the people’s ages.Link to the tally sheets: http://www.intervisualtechnology.us/data/1/16381/textregular.jpga. Make a two-­way table that includes the marginal frequencies.b. Make a two­-way table that shows both the joint and marginal relative frequencies. Round to the nearest hundredth, if necessary.c. What is the probability that someone who is between the ages of 20-29 also texts regularly?d. What is the probability that someone who is between the ages of 40-49 also texts regularly?e. Does the data show a relationship between age and texting? Explain.2. The data below represents the number of hits on your web site over 10 months.a. Make a scatter plot of ln ​y​ versus ​x​. Use the scatter plot to find the equation for the line of best fit.b. Make a scatter plot of ln ​y​ versus ln ​x​. Use the scatter plot to find the equation for the line of best fit.c. Based on your answers in part a and b, would an exponential model or a power model be better to represent this data? Explain.d. Use your answers from parts a and b to find an exponential model and a power model to represent this data by hand.e. Use the regression feature on your calculator to find an exponential model and a power model to represent this data.f. Use your answer from parts c and d to make the ​best​ estimate for the number of hits your web site will have in 12 months.

Learning objective: Determine probabilities using the standard normal distribution.Description:The normal distribution describes many common phenomena. Imagine a frequency distribution describing popcorn popping on a stovetop. Some kernels start to pop early, maybe one or two pops per second; after ten or fifteen seconds, the kernels are exploding frenetically. Then gradually the number of kernels popping per second fades away at roughly the same rate at which the popping began.The heights of American men are distributed more or less normally, meaning that they are roughly symmetrical around the mean of 5 feet 10 inches. Each SAT test is specifically designed to produce a normal distribution of scores with a mean 500 and a standard deviation of 100. According to the Wall Street Journal, Americans even tend to park in a normal distribution at shopping malls; most cars park directly opposite the mall entrance—the “peak” of the normal curve—with "tails” of cars going off to the right and left of the entrance.The beauty of the normal distribution—its Michael Jordan power, finesse, and elegance—comes from the fact that we know by definition exactly what proportion of the observations in a normal distribution lie within one standard deviation of the mean (68.2 percent), within two standard deviations of the mean (95.4 percent), within three standard deviations (99.7 percent), and so on. This may sound like trivia. In fact, it is the foundation on which much of statistics is built.For this Discussion:Find a study/article (related to business) in the news that uses the normal distribution to explain a phenomenon. Summarize the study and discuss how the study uses/apply the normal distribution. Makes sure to provide the link to the study/article.