Do these results answer the question “Does stress predict d
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Do these results answer the question “Does stress predict drinking behavior?”
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- Please do not give solution in image format thanku A local bank is using Winters' method with α = 0.2, β = 0.1, and γ = 0.5 to forecast the number of customers served each day. The bank is open Monday through Friday. At the end of the previous week, the following seasonal indexes have been estimated: Monday, 1.25; Tuesday, 0.80; Wednesday, 0.90; Thursday, 0.95; Friday, 1.10. Also, the current estimates of level and trend are 20 and 1. After observing that 30 customers are served by the bank on this Monday, forecast the number of customers who will be served on each of the next five business days. Round your answers to one decimal place, if necessary.Classify the statement below that is either descriptive statistics or statisticalinferencei. Assuming that less than 20% of the coconut plantation in the Philippines weredestroyed after a typhoon “Yolanda”, we should expect an increase of coconut oils at30% after the third month.ii. At least 10% of all floods reported in 2020 are caused by release of water from thedams during heavy rainfall.a. Descriptive statistics and Descriptive statisticsb. Descriptive statistics and Statistical inferencec. Statistical inference and Statistical inferenced. Statistical inference and Descriptive statisticsRafael Nadal, a profossional tennis player believes he can make 70% of his first serves that are at least 110 mph. His friends believe the percentage should be smaller than 70% They challenged Ralato do 400 first-serves. Rafa successfully served 255 tinesThe null hypothesis is that he can serve 70% of his first servesa) Find the observed percentage and the standard error for percentage. Round the standard error to the nearest tenth of a porcent(for example 6.3%6). Hint The SD for the box model isb) Compute the z-stalistic. Round your answer to two decimal placesc) Find te p value Round your answer to the nearest tenth of a percentifor example 6.3%)d) if the significance level is set at 5% do you reject the nulf hypothesis? What about 1%?
- Rafael Nadal, a profossional tennis player believes he can make 70% of his first serves that are at least 110 mph. His friends believe the percentage should be smaller than 70% They challenged Ralato do 400 first-serves. Rafa successfully served 255 tinesThe null hypothesis is that he can serve 70% of his first servesa) Find the observed percentage and the standard error for percentage. Round the standard error to the nearest tenth of a porcent(for example 6.3%6). Hint The SD for the box model is___b) Compute the z-stalistic. Round your answer to two decimal placesc) Find the p value Round your answer to the nearest tenth of a percent. For an example 6.3%.d) If the significance level is set at 5% do you reject the nulf hypothesis? What about at 1%?To estimate a population mean μ, the sample mean x¯ is often used as an estimator. However, a different estimator is called the sample midrange, given by the formula sample minimum + sample maximum/2. (c) The following table shows the values, in thousands of dollars, of 40 randomly selected houses in the city. (i) Calculate the sample midrange for the data. (ii) Explain why the sample midrange might be preferred to the sample mean as an estimator of the population mean.Statisticians use a measure called the ________ of the ________ ________ to find a model that approximates a set of data most accurately.
- Identify the parameter, Part II. For each of the following situations, state whether theparameter of interest is a mean or a proportion.(a) A poll shows that 64% of Americans personally worry a great deal about federal spending andthe budget deficit.(b) A survey reports that local TV news has shown a 17% increase in revenue between 2009 and2011 while newspaper revenues decreased by 6.4% during this time period.(c) In a survey, high school and college students are asked whether or not they use geolocationservices on their smart phones.(d) In a survey, smart phone users are asked whether or not they use a web-based taxi service.(e) In a survey, smart phone users are asked how many times they used a web-based taxi serviceover the last year.The Ministry of Tourism in Trinidad and Tobago is interested in developing a campaign to increase the number of visitors to the island. The Ministry in collaboration with the island’s hotels collected data to be used as a guide to determine what steps should be taken going forward. Using the data in the Microsoft Excel file attached you are required to use the knowledge you have acquired during the semester to answer the following question. Ensure that your responses are detailed and all the necessary steps are clearly outlined. Derive a model for the estimation of the probability of returning to the island from the average money spent during the visit. Discuss why regression analysis is important in decision-making.To estimate a population mean μ, the sample mean x¯ is often used as an estimator. However, a different estimator is called the sample midrange, given by the formula sample minimum + sample maximum/ 2. (a) The following table shows the values, in thousands of dollars, of 40 randomly selected houses in the city. (i) Calculate the sample midrange for the data. (ii) Explain why the sample midrange might be preferred to the sample mean as an estimator of the population mean. (b) To investigate the sampling distribution of the sample midrange, a simulation is performed in which 100 random samples of size n=40 were selected from the population of house values. For each sample, the sample midrange was calculated and recorded on the following dotplot. The mean of the distribution of sample midranges is $617,000 with standard deviation $136,000. Based on the results of the simulation, explain why the sample mean might be preferred to the sample midrange as an estimator of the population mean.
- When considering the future performance of a company, financial analysts often use forecasts for earnings per share (EPS). Naturally, we are interested in the quality of these forecasts. We can define a forecasting error as follows: Forecasting Error = Predicted Value of the Variable – The Actual Value of the Variable. The optimal forecast would have a mean forecasting error of zero. This suggests that, on average, the predicted value is equal to the actual value. Therefore, we construct a hypothesis test to see if the mean forecasting error is equal to zero. You have collected data, as shown in the picture below, for two analysts covering different industries. Analyst A covers the pharmaceutical sector; Analyst B covers the retail sector. Please complete the following tasks (1–3) and provide an answer to the following question (4): Define μ as the population mean forecasting error and formulate the null and alternative hypothesis for a zero mean test of forecasting quality. For…Describe how nonresponse might lead to bias in this survey. Does the stated margin of error account for this possible bias? People who have longer travel times to work might have less time to respond to a survey. This would cause our estimate from the sample to be greater than the true mean travel time to work. The bias due to nonresponse is not accounted for by the margin of error. People who have longer travel times to work might have less time to respond to a survey. This would cause our estimate from the sample to be less than the true mean travel time to work. The bias due to nonresponse is not accounted for by the margin of error. People who have longer travel times to work might have less time to respond to a survey. This would cause our estimate from the sample to be less than the true mean travel time to work. The bias due to nonresponse is accounted for by the margin of error. People who have longer travel times to work might have less time to respond to a survey.…Referring to the above scenario, interpret the coefficient attached to variable applications recorded: Referring to the above scenario, interpret R Square: Referring to the above scenario, interpret the F-statistic in the ANOVA analysis: Referring to above scenario, predict the amount of time it would take on average to process 150 invoices:
