Instructions Automation Older Adult Care Renewable Energy Renewable energy is energy that is collected from sources which are replenished on a short timescale, such as geothermal heat, hydroelectricity, rain, sunlight, tides, wind and waves. The Pew Research Center did a large survey in 2017. Data was collected from a random sample of Americans age 18 and older. Respondents were asked whether increasing reliance on renewable energy sources should be a top priority or not. Use the survey results to determine if there is convincing evidence that less than 75% of Americans think that increasing reliance on renewable energy sources should be a top priority. Test the hypothesis using a 0.05 signicance level. One question researchers wanted to answer is whether the differences in the pH levels of red wine and white wine is too great to have resulted from sampling error alone. Perform a two-sample t test for comparing two population means to answer this question. The first ve rows of data look like this. ReliancaOnRevawahleEnergy Should be a top priority Should be a top priority Should be a top priority Should be a top priority Should be a top priority Dene those who answered "Should be a top priority" as the success group. Import the dataset into SALT for analyzing. I0 USE SALT I USE SALT After you have clicked the tab for your selected topic and read the problem, answer the questions below. (a) Use SALT to summarize the data. Enter the sample size, number of success, and sample proportion, 13 for the data, rounded to three decimal places. (b) Write the hypotheses to investigate the research question about the proportion, p, of successes. (Enter != for at as needed.) (c) We need to verify the assumptions for using a z-test for a single proportion to analyze this dataset. The first assumption states the sample is a random sample from the population of interest or the sample is selected in a way that should result in a representative sample. Based on what you know about how this sample was collected, the sample E] J a random sample from the populations of interest. The second assumption requires the sample to be large enough to be reasonably sure that the sampling distribution will be at least approximately normal. This condition is met when both np 2 10 and n(1 p) S 10, where p is the hypothesized proportion. Based on the two sample sizes, the second assumption ./ met. (C) we need to verily the assumptions for using a Z-test for a single proportion to analyze inIs ualasel. The first assumption states the sample is a random sample from the population of interest or the sample is selected in a way that should result in a representative sample. Based on what you know about how this sample was collected, the sample is a random sample from the populations of interest. The second assumption requires the sample to be large enough to be reasonably sure that the sampling distribution will be at least approximately normal. This condition is met when both np 2 10 and n(1 - p)