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 2061 riders not wearing a helmet. Complete parts (a) and (b) below. Click the icon to view the tables. (a) Does the distribution of fatal injuries for riders not wearing a helmet follow the distribution for all riders? Use α = 0.05 level of significance. What are the null and alternative hypotheses? OA. 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. OB. 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 riders not wearing a helmet does follow the same distribution for all other riders. OC. None of these. Compute the expected counts for each fatal injury. Observed Count Location of injury Multiple Locations 1030 868 37 81 45 Head Neck Thorax Abdomen/Lumbar/Spine (Round to two decimal places as needed.) What is the P-value of the test? Expected Count C P-value= (Round to three decimal places as needed.) Screen Shot 2023-... Distribution of fatalities by location of injury Location of injury Proportion Proportion of fatalities by location of injury for motorcycle accidents Abdomen/ Lumbar/ Head Spine 0.030 Multiple locations 0.570 Location of injury and fatalities for 2061 riders not wearing a helmet Location of injury Number Multiple locations 1030 0.310 Head 868 Neck ₁ 0.030 Thorax 0.060 Neck 37 Thorax 81 Full data set D Abdomen/ Lumbar/ Spine 45 Q

d. Estimate the blood pressure of the student if his stress test score is 80, 60, and 85.

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The boxplot shown below results from the heights​ (cm) of males listed in a data set. What do the numbers in that boxplot tell​ us?                         151 172.5 192 168.5 182.6         A boxplot consists of a box that extends from 168.5 to 182.6, a vertical line segment drawn through the box at 172.5, and a horizontal line segment extending from a vertical line segment at 151 to a vertical line segment at 192 that bisects the box.       Question content area bottom Part 1 The minimum height is enter your response here ​cm, the first quartile Q1 is enter your response here ​cm, the second quartile Q2 ​(or the​ median) is enter your response here ​cm, the third quartile Q3 is enter your response here ​cm, and the maximum height is enter your response here cm. ​(Type integers or decimals. Do not​ round.)

Profits per shop Number of shop 0–100- 12 100–200 18 200-300 27 300–400 20 400–500 17 500-600 06

A property analyst is examining the relationship between the City Council's valuation on residential property and the market value (selling price) of the properties. A random sample of 8 recent property transactions were examined. The data is recorded in the tables below. Find the intercept (rounded off to four decimals). 1 2 3 4 5 6 7 8 A. 0.0892 B. -4.0293 OC. 6.7128 D. 1.285 City Council valuation (R1000) 12 45 32 50 28 56 18 40 Market value (R1000) 65 220 142 310 196 364 116 260 SSxy=10319.875 SSY = 70990.875 Exy=69084 b = 6.1912 SSX 1666.875 x = 34.4286 y=209.125

Solve. 4) Construct a box plot from the data below. 20 25 26 26 26 272933 41 43 45 46 47 4850 50 50 51 53 55 57 60 61 62 63

Use this data which give the dosage levels for a particular drug and the heart rate measured 30 minutes after taking the drug. Dose (mg) Heart rate 0.125 95 0.20 90 0.25 93 0.30 92 0.35 88 0.40 80 0.50 82 Create a scatter plot.  Use your Ti-84

Which country of origin appears to have the highest “typical” miles per gallon?   [ Select ]  ["USA", "Sweden", "France", "Japan", "Italy", "Germany"]  Which country of origin has the most variation in miles per gallon?   [ Select ]  ["Sweden", "USA", "France", "Italy", "Japan", "Germany"]

Is the variable(foot print) below normally distributed or skewed? If skewed, indicate the direction.   male shoe print #1 32.2 #2 30.1 #3 29.0 #4 31.8 #5 29.4