Complete parts (a) through (c) below. (a) Determine the critical value(s) for a right-tailed test of a population mean at the a = 0.10 level of significance with 15 degrees of freedom. (b) Determine the critical value(s) for a left-tailed test of a population mean at the a= 0.10 level of significance based on a sample size of n= 10. (c) Determine the critical value(s) for a two-tailed test of a population mean at the a =0.01 level of significance based on a sample size of n 12. E Click here to view the t-Distribution Area in Right Tail. (a) terit = (Round to three decimal places as needed.) T-distribution area in right tail (b) tert= |(Round to three decimal places as needed.) 1-Distribution (c) tert= (Round to three decimal places as needed.) Area in Right Tail df 0.25 0.20 0.15 0.10 0.05 0.025 0.02 0,01 0.005 0.0025 0,001 0,0005 JP 1.963 1.386 1.250 1.190 1.156 12.706 4.303 3.182 2.776 2571 15.894 636.619 31.599 12.924 8610 6.869 1.376 3.078 1.000 0.816 0.765 6.314 2.920 2.353 2.132 2.015 31.821 6.965 4.541 3,747 3.365 63.657 9.925 5.841 127.321 14.089 7453 5.598 4.773 318.309 22.327 10.215 7.173 5893 1 1.886 1.638 1.533 1476 4.849 1.061 0.978 0.941 0.920 2 3. 0.741 0.727 3.482 2.999 2.757 4.604 4.032 5. 1.134 1.119 1.108 1.943 1.895 1.860 1.833 1812 2.447 2.365 2.306 2.262 2.228 2.612 2517 2449 2.398 2.359 3.143 2.998 2.896 2.821 2.764 3.707 3.499 3.355 3.250 3.169 4.317 4.029 3.833 3.690 3.581 5.208 4.785 4.501 4297 4.144 5.959 5.408 5.041 4.781 4.587 0.718 0.906 0.896 0.889 0.883 0.879 1.440 1415 1.397 1.383 1.372 6. 7. 0.711 7. 8. 0.706 0.703 0.700 1.100 1.093 10 10 1.363 1.356 1350 1.345 1.341 1.796 1.782 1.771 1.761 1.753 2.201 2.179 2.160 2.145 2131 2.328 2.303 2.282 2.264 2249 2.718 2.681 2650 2.624 2.602 3.106 3.055 3.012 2.977 2.947 3.497 3.428 3.372 3.326 3.286 4.025 3.930 3.852 3.787 3.733 4.437 4318 4221 11 0.697 0.695 0.694 0.692 0.691 0.876 0.873 0.870 0.868 0.866 1.088 1083 1079 1.076 1.074 11 12 13 12 13 14 4.140 14 15 4.073 15 1.337 1.333 1.330 1.328 1.325 2235 2.224 2214 2.205 2197 2.583 2.567 2.552 2539 2528 2.921 2.898 2.878 2.861 2845 3.252 3.222 3.197 3.174 3.153 4.015 3.965 3.922 3.883 3850 3.686 15 0.865 0.863 0.862 0.861 0.860 1.071 1.069 1.067 1.066 1.064 1.746 1.740 1.734 1.729 1.725 2120 2.110 2.101 2.093 2.086 16 0.690 17 0.689 0.688 0.688 20 3.646 3.610 3.579 3.552 17 18 18 19 19 20 0.687 0.859 0888 ORS8 0857 0856 2.080 2.074 2.069 2.064 2.060 2.189 2.183 2.177 2.172 2.167 3.135 3.119 3.104 3.091 3.078 3.527 3.505 3.485 3.467 3.450 3.819 3.792 3.768 3.745 3.725 21 22 23 2518 2.508 2.500 2.492 2485 2.479 2.473 2.467 2.462 2457 2831 2.819 2.807 2.797 2.787 2.779 2.771 2.763 2.756 2.750 1.063 1.061 21 22 23 24 25 1.323 1.321 1319 1318 1.316 1.721 1.717 1.714 1.711 1.708 0.686 0.686 0.685 0.685 1.060 24 1.059 1.058 25 0.684 2.162 2.158 2.154 2.150 2.147 3.067 3.057 3.047 3.038 3.010 3.435 3421 3.408 3.396 3.385 3.707 3.690 26 27 28 0886 1.058 1.057 1.315 1.314 1.313 1311 1310 1.706 1.703 1.701 1.699 1697 2.056 2.052 2048 2.045 2.042 26 0.684 27 0.684 28 0683 29 0683 30 0683 0855 0.854 0.854 1OS5 1055 3.674 3.659 3646 29 30 MacBook Pro

Using an evenly distributed data population of 8,000 samples, how many   Would fall between a Z-score of -0.5 and +0.5?   (blank)

A traffic safety company publishes reports about motorcycle fatalities and helmet use. In the first accompanying data table, the distribution shows the proportion of fatalities by location of injury for motorcycle accidents. The second data table shows the location of injury and fatalities for 2073 riders not wearing a helmet. Complete parts (a) and (b) below. (a) Does the distribution of fatal injuries for riders not wearing a helmet follow the distribution for all riders? Use α = 0.10 level of significance. What are the null and alternative hypotheses? A. Ho: The distribution of fatal injuries for riders not wearing a helmet follows the same distribution for all other riders. H₁: The distribution of fatal injuries for riders not wearing a helmet does not follow the same distribution for all other riders. B. Ho: The distribution of fatal injuries for riders not wearing a helmet does not follow the same distribution for all other riders. H₁: The distribution of fatal injuries for…

True or false: The point estimate for the population mean of an xdistribution is computed from a random sample of the xdistribution.

​(a) Find the critical​ value(s) assuming that the population variances are equal. ​(b) Find the critical​ value(s) assuming that the population variances are not equal.

(c) For a two-tailed test using the t-distribution, if the sample size is 10, find out the critical values based on the given significance levels: (1) a = 0.1, (2) a = 0.05, and (3) a = 0.01. %3D

In a hypothesis test for the population variance, the alternate hypothesis is the population variance doesn't equal 17.0. The significance level to be used is 0.05 and the sample size to be taken is 25. The table value(s) to use from the chi-square distribution is/are     12.401 and 39.364. 13.181 39.364 40.671

A researcher wants to measure average cardiovascular health of university students and compare those scores to the average scores in the general population. Assuming that population variance is known, what statistical test is most appropriate for this study?        independent-samples t-test     single-sample t-test     z-test for sample mean     related-samples t-test

At a 0.05, test to see if the population variances from which the following samples were drawn are equal. The test statistic is Group 1 n₁ = 21 Group 2 n₂ = 19 $1 = 20 S2 = 18 (A) 1.56 (B) 1.23 (C) 1.26 (D) 1.11