\fQuestion 14 Which statement explains what the slope tells you about the variables in this graph? RUNNING VERSUS CALORIES BURNED E 3 CC V. E E n: '~.J Time Spent Running :Minutesi The graph shows that fOr every minute spent running, the runner must consume more calories. The graph shows that fOr every calorie consumed, the amount of'time running will be reduced. The graph shows that there is a negative relationship between time spent running and calories burned. The graph shows that there is a positive relationship between running and calories burned. Question 15 Amanda is currently in the market for a newjob as a mechanical engineer: To get a sense of what the typical salary is for the position she is interested in, Amanda did some research and found a database showing salary information from mechanical engineers across the county. Amanda had access to both the average national salary and the average local salan,l for mechanical engineers. Which of the following is an example of a parameter in Amanda's scenario? The national average salary for mechanical engineers All of'the mechanical engineers in the country Mechanical engineers in Amanda's city The average salary for a mechanical engineer in Amanda's city Question 16 O Mark this que This graph shows survey results on the average sale price of restored 1969 Camaros. AVERAGE SALE PRICE OF RESTORED 1969 CAMARO 18000 16000 14000 12000 10000 Number of Responses 8000 6000 4000 2000 0-10000 10000-20000 20000-30000 30000-40000 40000-50000 Price Range (in Dollars) What type of data does this graph represent? O Interval O Nominal O Ordinal O Ratio\fQuestion 20 OMark this question Cecil is the manager at a shampoo factory. Recently he has suspected that shampoo bottles contain less shampoo than they should. Cecil began collecting somple bottles from the production line so that he could test them to see if they were underfilled. However, he needed to know if the amount of shampoo in each sample bottle was statistically likely or not. Cecil knows that the mean amount of shampoo in each bottle should be 9 ounces with a standard deviation of 0.5 ounces. Cecil picks up a bottle and determines that it has 8.5 ounces of shampoo. Using the following z-table, what is the probability that this bottle is likely to have less shampoo than the rest of the bottles? 901 0.07 9.08 0.09 -3.4 0.0003 0.0003 0 0003 0.6003 6.0003 0.0603 0.0003 0.0803 0.0002 3.3 0.0005 0.0005 0.0005 0.0004 0.0004 0.0004 0.0004 0.0004 0.0004 0.0003 -3.2 0.0007 0.0007 0.0006 0.0006 0.0006 0.0006 0.0006 0.0005 0.0005 0.0005 -3.1 0.0010 0.0009 0.0009 0.0009 0 0008 0.0008 0.0008 0.0004 8 0.0007 0.0007 0.0013 0.0013 00013 070012 0:0013 60011 0:0011 0.0011 0.0010 D.0010 2.9 00019 0.0018 0 0018 0.0017 0.0016 0.0016 0.0015 0.0015 0.0014 0.0014 -2.8 00026 0,0025 00024 0,0023 0.0023 23 0.0022 0.0021 0.0021 0/0020 0.0019 -2.7 0.0035 0.0034 0 0033 0.0032 010031 0.0030 0.0029 0.0028 0.0027 0.0026 -2.6 01047 0.0045 0:0044 0.0043 0 00-11 0.0040 0.0089 Q.0038 0,0037 0.0036 -2.5 00062 0.0060 0.0059 0.0057 0.0055 0.0054 0.0052 0.0051 0.0049 0.0048 0.0082 0.0080 0 0078 10.0073 0.0071 0.0069 0/0048 0.00GG 0.0064 -2.5 00107 0.0104 60103 8.0084 -3.2 00159 0.0136 00132 0.0129 00125 0.0122 00119 00116 0.0113 0.0110 2.1 00179 0.0174 00170 0.0156 0.0162 0.0158 0.0154 0.0150 0.0143 -2 0.0228 0.0222 0 0217 0.0212 0 0207 0.0202 0.0197 0.0192 0.0188 0.0183 0.0281 0.0274 0 0263 0.0256 0.0250 0.0244 0.0239 0.0283 -1.8 0.0359 0.0351 0.0344 0.0336 0.0329 0.0322 0.0314 0.0307 0.0301 0.0294 -1.7 0 0446 0.0436 0 0427 0.0418 0.0405 0.0401 0.0392 0.0384 0.0375 0.0367 0.0548 0.0537 0.0526 Q.0516 0.0505 0.0496 0.0485 0.0475 0.0465 0.0455 -1.5 00668 0.0635 0 0645 0.0610 0 0618 0.0394 00582 0.0571 0. 0.0808 010793 0.0778 0 0749 0.0735 0.0721 0.0708 0.0594 0.0681 -1.3 0.0968 0/0951 0.0934 0/0918 0.0901 0.0869 0.0853 0.0838 0.0823 -1.2 01151 0.1131 01112 0.1093 1 0.1075 0.1056 0.1038 0.1020 0.1003 0.0985 0.1357 0.1315 01014 0.1292 0 1271 0.1231 0.1230 0.1210 0.1190 0.1170 -1 01587 0.1562 0 1539 0.1515 0.1492 0.1469 0.1446 0.1423 0.1401 0 0.1379 0.9 01841 0.1814 01788 0.1762 0.1736 0.1711 0.1685 0.1660 0.1635 0.1611 02119 02090 02061 0.2013 0 2005 0.1977 0.1949 0.1932 0.1894 01867 -0.7 0.2420 0.2109 02158 0.2127 0 2296 0.2214 0.2236 0.2204 0.2177 0.2148 -0.6 02743 0.2709 0.3636 0.2643 0.2611 0.2578 0.3546 0.2514 0.3483 0.2451 0.5 03085 0.3050 03015 0.2981 0.2946 0.2912 0.2877 0.2843 0.2810 0.2776 -0.4 03406 0.3409 0 3172 0.3836 0 3300 0.3261 0-3228 0.0192 0.8156 0.3121 -0.3 IZRED 0.3783 0.3707 0 3609 0.3632 0.3594 0.3557 0.3520 0.3483 -0.2 04207 0,4168 04129 0,4090 04052 0.4013 0.3974 0.3936 0.3897 0.3879 0.4602 0.4562 0.4522 0.4483 0.4443 0.4404 0.4364 0.4325 0.4286 0.4247 05000 0,4910 04920 04850 04840 0.4801 04761 0.4721 04081 0.4641 O 84.13% O 2.28% O 15.62% O 15.87%Question 21 O Mark this questio -2 Given this z-table and the standard normal distribution shown in the graph, which z-score represents a value that is likely to occur? O 1.58 O -2.68 O 2.96 O 3.89Question 23 O Mark this question Michael checked several car dealerships around town for the make and model he wanted to purchase. He received eight different quotes: $28,345 $26,780 $28,345 $27,785 $29,450 $28,459 $28,700 $29,995 What is the median car price? O $28,459 O $28,402 O $28,482.38 O $28,345Question 24 A sample of E} residents" incomes in a particular town yields the following descriptive statistics: $19,000 $20,000 $27,000 $38,000 $112,000 $45,000 $22,000 $49,000 $32,000 What is the interquarlile range for this sample? $11,000 $25,000 $15,000 $100,000 |Question 25 Deon was searching through a list of movies on his: streaming movie service and wanted to only look at movies that were rated 4 out of 5 stars or higher. There are a total of 300 movies listed. If 40' of those movies have ratings of 4 stars and 20' have ratings of 5 stars, what is the probability that Deon will randomly select a movie with at least a 4star rating