- The Accompanying Table Gives Amounts Of Arsenic In Samples Of Brown Rice From Three Different States The Amounts Are In 1 (16.33 KiB) Viewed 89 times
- The Accompanying Table Gives Amounts Of Arsenic In Samples Of Brown Rice From Three Different States The Amounts Are In 2 (18.54 KiB) Viewed 89 times
- The Accompanying Table Gives Amounts Of Arsenic In Samples Of Brown Rice From Three Different States The Amounts Are In 3 (28.61 KiB) Viewed 89 times
- The Accompanying Table Gives Amounts Of Arsenic In Samples Of Brown Rice From Three Different States The Amounts Are In 4 (17.78 KiB) Viewed 89 times
- The Accompanying Table Gives Amounts Of Arsenic In Samples Of Brown Rice From Three Different States The Amounts Are In 5 (25.89 KiB) Viewed 89 times
- The Accompanying Table Gives Amounts Of Arsenic In Samples Of Brown Rice From Three Different States The Amounts Are In 6 (33.13 KiB) Viewed 89 times
- The Accompanying Table Gives Amounts Of Arsenic In Samples Of Brown Rice From Three Different States The Amounts Are In 7 (58.87 KiB) Viewed 89 times
The P-value is 0.000 (Round to three decimal places as needed.) Do the amounts of arsenic appear to be different in the different states? There is sufficient evidence at a 0.05 significance level to warrant rejection of the claim that the three different states have different mean arsenic content(s) in brown rice Given that the amounts of arsenic in the samples from Texas have the highest mean, can we conclude that brown rice from Texas poses the greatest health problem? OA. The results from ANOVA do not allow us to conclude that any one specific population mean is different from the others, so we cannot conclude that brown rice from Texas poses the greatest health problem OB. The results from ANOVA allow us to conclude that Texas has the highest population mean, so we can conclude that brown rice from Texas poses the greatest health problem.. OC. Because the amounts of arsenic in the samples from Texas have the highest mean, we can conclude that brown rice from Texas poses the greatest health problem. OD. Although the amounts of arsenic in the samples from Texas have the highest mean, there may be other states that have a higher moan, so we cannot conclude that brown rice from Texas poses the greatest health problem.
gles and from populations with the same mean. Do the amounts of arsenic appear to be different in the differenti ? Given that the amounts of arsenic in the samples from Texas have the highest mean, can we conclude that brown rice from Texas poses the greatest health problem? Click the icon to view the data and to two decimal places as needed) mine the P-value value is 0.000 and to three decimal places as needed.) amounts of arsenic appear to be differen in sufficient evidence at a 0.05 sign that the amounts of arsenic in the sample The results from ANOVA do not allow us problem Arsenic Amounts Arkansas California Texas 4.83 4.04 4.95 5.43 1.52 3.71 3.98 5.58 5.83 659 6.85 Print 63 5.62 5.85 6.04 6.12 10 527 541 5.39 5.48 5.58 5.61 90 7.06 7.25 7.49 7.62 7.70 7.66 Done X in brown rice. 7 e from Texas poses the greatest health The results from ANOVA allow us to conclude that Texas has the highest population mean, so we can conclude that brown rice from Texas poses the greatest health problem Because the amounts of arsenic in the samples from Texas have the highest mean, we can conclude that brown rice from Texas poses the greatest health problem Although the amounts of arsenic in the samples from Texas have the highest mean, there may be other states that have a higher mean, so we cannot conclude that brown rice from Texas poses the greatest health problem Time Remaining: 02:20:35 Next
Systolic blood pressure levels above 120 mm Hg are considered to be high. For the 100 systolic blood pressure levels listed in the accompanying data set, the mean is 122.78000 mm Hg and the standard deviation is 16.46274 mm Hg. Assume that a simple random sample has been selected. Use a 0.05 significance level to test the claim that the sample is from a population with a mean greater than 120 mm Hg Click the icon to view the data set of systolic blood pressum levels Identify the null and alterative hypotheses H₂: H₂ Y (Type integers or decimals. Do not round.) identify the test statistic (Round to two decimal places as needed.) Identify the P-value (Round to three decimal places as needed) State the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim sufficient evidence at the 0.05 significance level to the null hypothesis. There greater than 120 mmHg the claim that the sample is from a population with a mean systolic blood pressure level
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