automation in everyday life. Data was collected from a random sample of Americans age 18 and older. Respondents were asked whether they would want to ride in a driverless vehicle if given the opportunity. Use the survey results to determine if there is convincing evidence that less than 50% of Americans would want to ride in a driverless vehicle if given the opportunity. Test the hypothesis using a 0.05 significance level. The first five rows of data look like this. RideDriverless Yes No Yes Yes Yes Define those who answered "Yes" as the success group. Import the dataset into SALT for analyzing. A 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, sample proportion, p for the data, rounded to three decimal places. Sample size Number of Successes (b) Write the hypotheses to investigate the research question about the proportion, p, of successes. (Enter !- for + 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 --Select--- Va 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 proporti Based on the two sample sizes, the second assumption --Select- v met. (d) Enter the requested values below. Round your test statistic to two decimal places and your P-value to four decimal places. Test Statistic: P-value: Comparing the P-value with the significance level of 0.05, the P-value is --Select- v the significance level. The decision is to -Select-- V the null hypothesis. Based on the sample data, there --Select- V convincing evidence that the sample proportion is less than the hypothesized proportion by more than what could have resulted from sampling error alone.