If the test statistic has a very large negative value, what does that indicate?

Is the proportion of wildfires caused by humans in the south higher than the proportion of wildfires caused by humans in the west? 408 of the 536 randomly selected wildfires looked at in the south were caused by humans while 393 of the 579 randomly selected wildfires looked at the west were caused by humans. What can be concluded at the  = 0.01 level of significance?   For this study, we should use Select an answer t-test for a population mean t-test for the difference between two independent population means t-test for the difference between two dependent population means z-test for a population proportion z-test for the difference between two population proportions  The null and alternative hypotheses would be:          Select an answer μ1 p1  Select an answer > ≠ < =  Select an answer p2 μ2  (please enter a decimal)       Select an answer μ1 p1  Select an answer < > ≠ =  Select an answer μ2 p2  (Please enter a decimal) The test statistic ? t z  =  (please show your…

According to a CCH Unscheduled Absence survey, 9% of small businesses use telecommuting of workers in an effort to reduce unscheduled absenteeism. This proportion compares to 6% for all businesses. Is there really a significant difference between small businesses and all businesses on this issue? Use these data and an alpha of .10 to test this question. Assume that there were 725 small businesses and 875 other businesses in this survey. Appendix A Statistical Tables (Round the intermediate values to 4 decimal places. Round your answer to 2 decimal places.) Observed z = %3D The decision is to

The average French person drinks approximately 30 gallons of soda a year. Some French legislators are recommending instituting a sales tax on soda to raise revenue and fight obesity. Will a sales tax reduce the mean amount of soda consumption? Suppose that a sales tax on soda will be added in a random sample of communities to measure the impact on soda consumption. State the null and alternative hypothese     Suppose sample results give a p-value of 0.2. State your general conclusion (reject the null or fail to reject the null). Then state your conclusion based on the context of this situation.       Now suppose sample results give a p-value of 0.018. State your general conclusion (reject the null or fail to reject the null). Then state your conclusion based on the context of this situation.

Suppose IQ scores were obtained for 20 randomly selected sets of couples. The 20 pairs of measurements yield x = 100.24, y = 102.55, r= 0.848, P-value = 0.000, and %3D y = 12.97 + 0.89x, where x represents the IQ score of the wife. Find the best predicted value of y given that the wife has an IQ of 106? Use a significance level of 0.05. Click the icon to view the critical values of the Pearson correlation coefficient r. The best predicted value of y is (Round to two decimal places as needed.)

A model was built to predict house prices that included 8 variables. The Overall F test had a p-value equal to 0.0001, but all of the p-values for the t-test had p-values greater than 0.20. What does this indicate? The data is summarized. O There is a problem with extrapolation. O There is a problem with multicollinearity.

Suppose that Dietitians recently recommended a 400 cal per meal and take her children of the age of the data set.  To see if both groups adhere to the guideline follow the steps to develop and test a statistical hypothesis.  Test to see if us groups means are different from 400 calories.  You have two data sets so you'll be completing the process twice.  Use 0.05 as a level of significance and make sure to report any important statistic with your results (e.g., mean of each group, standard deviation of each group, test stastistic (are you using t or z?), rejection region and p value).   Data: Children Participated Children Did Not Participate 435.16 414.61 338.99 503.46 488.73 425.22 590.28 288.77 582.59 184 635.21 299.73 249.86 350.65 441.66 394.94 572.43 261.55 357.78 295.28 396.79 139.69 298.38 462.78 282.99 179.59 368.51 301.75 388.59 436.58 256.32 371.39 408.82 469.02 424.94 378.09 477.96 287.31 428.74 448.55 432.52 332.64 428.27…

A random sample of male college baseball players and a random sample of male college soccer players were obtained independently and weighed. The accompanying table shows the unstacked weights (in pounds). The distributions of both data sets suggest that the population distributions are roughly Normal. Determine whether the difference in means is significant, using a significance level of 0.05. Click the icon to view the data table. Let µBaseball be the population mean weight (in pounds) of male college baseball players and let uSoccer be the population mean weight (in pounds) of male college soccer players. Determine the hypotheses for this test. Ho: HBaseball - HSoccer %3D Ha: HBaseball- HSoccer + 0 Find the test statistic for this test. (Round to two decimal places as needed.)

A coin-operated coffee machine made by BIG Corporation was designed to discharge a mean of 7.0 ounces of coffee per cup. If it dispenses more than that on average, the corporation may lose money, and if it dispenses less, the customers may complain. Believing that the mean amount of coffee dispensed by the machine, u, is greater than 7.0 ounces, BIG plans to do a statistical test of the claim that the machine is working as designed. Technicians gather a random sample of fill amounts and find that the mean of the sample is 7.4 ounces and that the standard deviation is 0.3 ounces. Based on this information, answer the questions below. What are the null hypothesis (H) and the alternative hypothesis (H,) that should be used for the test? H: u is ? Η: μs7 In the context of this test, what is a Type I error? v the hypothesis that u is ? ? v. A Type I error is ? v|? when, in fact, u is ? Suppose that BIG decides to reject the null hypothesis. What sort of error might it be making? ?

An industry study was recently conducted in which the sample correlation between units sold and marketing expenses was 0.64.The sample size for the study included 18 companies. Based on the sample​ results, test to determine whether there is a significant positive correlationbetween these two variables. Use α=0.01. Use t-distribution table. Answer parts a.,b. & c.   a. What are the appropriate null and alternative hypotheses to test for a positive correlation​? A.  H0​:ρ≥0 HA​: ρ<0   B. H0​: ρ=0 HA​:ρ≠0   C. H0​:ρ≤0 HA​:ρ>0   D. H0​:ρ<0 HA​:ρ≥0   E. H0​:ρ>0 HA​:ρ≤0   F.H0​:ρ≠0 HA​:ρ=0   b. Calculate the t-test statistic for correlation t=____  (Round to four decimal places as needed)   c. Determine the critical value(s) for the rejection region for the test statistic t. Select the correct choice below and fill in the answer box to complete your choice. (Round to four decimal places as needed.)   A.  t0.01= - _____   B. t0.01=…