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Please answer correctly all of them 0 Question 32 v The data shown below consists of the price (in dollars) of 7 events at a

Please answer correctly all of them

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0 Question 32 v The data shown below consists of the price (in dollars) of 7 events at a local venue and the number of people who attended. Determine if there is significant negative linear correlation between ticket price and number of attendees. Use a significance level of 0.05 and round all values to 4 decimal places. - Find the Linear Correlation Coefficient {J Find the p-value p-value = [:] The p-value is C] Less than (or equal to) a C] Greater than a The p-value leads to a decision to C] Reject Ho C] Do Not Reject Ho C] Accept Ho The conclusion is C] There is insufficient evidence to make a conclusion about the linear correlation between ticket price and attendance. C] There is a significant negative linear correlation between ticket price and attendance. C] There is a significant linear correlation between ticket price and attendance. C] There is a significant positive linear correlation between ticket price and attendance. 0 Question 28 v Before the furniture store began its ad campaign, it averaged 212 customers per day. The manager is investigating if the average is smaller since the ad came out. The data for the 13 randomly selected days since the ad campaign began is shown below: 229, 214, 228, 226, 222, 205, 211, 185, 216, 219, 203, 227, 208 Assuming that the distribution is normal, what can be concluded at the a = 0.05 level of significance? a. For this study, we should use v b. The null and alternative hypotheses would be: H --v [:] H -v [:] c. The test statistic = D (please show your answer to 3 decimal places.) d. The p-value = [:] (Please show your answer to 4 decimal places.) e. The p-value is v a f. Based on this, we should v the null hypothesis. g. Thus, the final conclusion is that C] The data suggest that the population mean number of customers since the ad campaign began is not significantly less than 212 at or = 0.05, so there is insufficient evidence to conclude that the population mean number of customers since the ad campaign began is less than 212. C] The data suggest the population mean is not significantly less than 212 at at = 0.05, so there is sufficient evidence to conclude that the population mean number of customers since the ad campaign began is equal to 212. C] The data suggest the populaton mean is significantly less than 212 at a = 0.05, so there is sufficient evidence to conclude that the population mean number of customers since the ad campaign began is less than 212. h. Interpret the p-value in the context of the study. Q There is a 784336928196 chance that the population mean number of customers since the ad campaign began is less than 212. C] If the population mean number of customers since the ad campaign began is 212 and if you collect data for another 13 days since the ad campaign began, then there would be a 784336928198 chance that the population mean number of customers since the ad campaign began would be less than 212. C] There is a 784336928196 chance of a Type I error. 0 If the population mean number of customers since the ad campaign began is 212 and if you collect data for another 13 days since the ad campaign began, then there would be a 78.43369281% chance that the sample mean for these 13 days would be less than 214.8. i. Interpret the level of significance in the context of the study. Q There is a 5% chance that there will be no customers since everyone shops online nowadays. D If the population mean number of customers since the ad campaign began is less than 212 and if you collect data for another 13 days since the ad campaign began, then there would be a 5% chance that we would end up falsely concuding that the population mean number of customers since the ad campaign is equal to 212. C] There is a 5% chance that the population mean number of customers since the ad campaign began is less than 212. C] If the population mean number of customers since the ad campaign began is 212 and if you collect data for another 13 days since the ad campaign began, then there would be a 5% chance that we would end up falsely concuding that the population mean number of customers since the ad campaign began is less than 212

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