International Tractor Motors (ITM) had recently undertaken an ad campaign aimed at agricultural owners in a certain country in Asia. The ad campaign was devoted to promoting the new IT-8 large specialty tractor. Four sales associates were assigned to sell in different medium to large farms throughout the country for many days. One associate was assigned to the northern part of the country. Another was assigned to the southern part. The other two were assigned to the west and east, respectively. Because of regulations, a sales associate can sell at most one IT-8 tractor per day and only one such tractor per farm, too. A sales associate was successful if he/she sold a tractor during the day. Thus, ITM can sell at most 4 tractors (4 total sales) per day in this country.Download the file titled Tractor Successes. It contains a scatter plot of the number of successes versus frequency. To compare the results to the Binomial Distribution, complete the following:Explain why this tractor sales scenario can be a binomial experiment.Using the Tractor Successes scatter plot, construct a frequency distribution for the number of successes.Compute the mean number of successes. The formula for the mean is as follows: ∑(x⋅f)∑f∑(x⋅f)∑fThe terms x represent the total number of successes (0, 1, 2, 3, 4) and f is the corresponding frequency (number of days where x successes occurred).Explain what the numerical result means.From the frequency distribution, construct the corresponding relative frequency distribution.Explain why the relative frequency distribution table is a probability distribution.Then, use Excel to create a scatter plot of the probability distribution:Select the two columns of the probability distribution. Click on INSERT, and then go to the Charts area and select Scatter. Then choose the first Scatter chart (the one without lines connecting).Using the frequency distribution, what is the tractor sales success average? In part 3, note that the numerator in the formula for the mean is the total number of successes. The total number of trials is the denominator of the formula for the mean multiplied by 4. What does this average mean?The Binomial Distribution is uniquely determined by n, the number of trials, and p, the probability of "success" on each trial. Using Excel, construct the Binomial Probability Distribution for four trials, n, and probability of success, p, as the tractor sales success average in part 5. Here is an explanation of the BINOM.DIST function in Excel: https://support.office.com/en-ie/article/BINOM-DIST-function-c5ae37b6-f39c-4be2-94c2-509a1480770c?ui=en-USrs=en-IEad=I (Links to an external site.)For example, In Excel=BINOM.DIST(7,15,0.7, FALSE)represents the probability of 7 successes out of 15 (n) trials. The 0.7 is the probability of success, p.Using the above value of n=4 with probability of success, p, as the tractor sales success average in part 5, what is the probability of at least two successes?Using the formula for the mean of the Binomial Distribution, what is the mean number of successes in part 6 above?In Excel, create a scatter plot for the Binomial Distribution. The instructions for creating a scatter plot are in part 4 above.Use the results above to compare the probability distribution of tractor sales successes and the Binomial Distribution. Compare the means in parts 4 and 6, too.If the probability distribution of tractor sales successes and the Binomial Distribution differ, explain why that is so.Do you think the Binomial Distribution is a good model for the tractor sales success scenario? Why or why not?How can International Tractor Motors use the Binomial Distribution to approximate tractor sales in similar countries?In what other scenarios can International Tractor Motors use the Binomial Distribution? Explain.

his week's main Discussion requires you to complete three tasks. Task I: Frequency tableNow that you have imported GSS 2018 dataset into your SPSS and have learned how to use GSS data explorer to find out GSS variable information, you are going to create and post a frequency table of your variables. Complete the following steps:Give your discussion title a unique label specific to your study/variables. Post a brief explanation of your topic which includes a bit of information about your variables: level of measurement, answer categories (yes/no, strongly agree, disagree, etc.), as well as the survey question used to collect data for this particular variable (refer to Discussion 1 discussion). Include a frequency table for each of your variables. Since you have two variables, one DV and one IV, you need to run frequency table for BOTH of your variables. When you are done, explain your outputs in no more than 5 sentences for each variable. Cite numbers in the outputs to support your conclusion. When you cite %, use the % reported in "valid percent" column. This column deletes all missing values, thus is "clean."To create a frequency table in SPSSOpen SPSS and open your GSS data fileSelect AnalyzeSelect Descriptive StatisticsSelect Frequenciesselect open StatisticsMake sure that mean, median, mode, standards deviation, and variance are chosen and select "Continue"Choose the variable that you want to make a frequency table of and click the arrow (this will move it into the right 'Variable' box)Select OKTask II. Describe the measures of central tendency (mean, median, mode) and dispersion (variance, standard deviation) for each of your variables.Based on what you have learned in the readings and lessons this week, identify the measures for each variable and explain what they tell us. Keep in mind that the mean is more meaningful for interval/ratio variables, the median or mode for ordinal variables, and the mode for nominal variables. What do these measures summarize for us about the variable's data?Task III. Create charts (bar chart, pie chart, or histogram depending on your variables' level of measurement)Presenting your data in graphic form is also important when conducting quantitative research. Based on what you have learned from the reading and the weekly lesson, create a graphic representation of your data. Your choice of graphing tool is purely based on a variable's level of measurement. When you are done, explain your outputs in no more than 5 sentences for each variable. It is OK if your explanation is similar to the frequency table interpretation, since chart is a different data presentation on the SAME variable. Cite numbers in the outputs to support your conclusion.Basic rules:Nominal: bar chart or pie chartOrdinal: bar chart or pie chartInterval/Ratio: histogram or line chartTo Create a ChartFollow steps 1-4 above (without worrying about the statistics).Select ChartsSelect choice of format (depending on your variable's level of measurement)Select OKContinue with steps 5-6Copy all of the frequency tables and charts by copy and pasting them into a document (PDF, MS Word) and attach to discussion. If your table/chart does not fit to the page, choose "copy special" and then "images." Paste images to the word document and the problem will be solved.My topic I have chosen is does financial security impact marital status. The independent variable is financial security and the dependent variable is marital status. I could really use the help on this, This class is really kicking my butt.

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