Data table Site 1 Site 2 90.85 89.76 93.17 86.94 89.37 88.66 91.44 92.27 82.94 92.70 88.12 89.13 94.63 90.33 88.59 89.61 84.88 90.24 86.85 86.85 88.01 91.78 91.24 86.53 84.11 91.74 89.93 83.43 92.62...


Data table<br>Site 1<br>Site 2<br>90.85<br>89.76<br>93.17<br>86.94<br>89.37<br>88.66<br>91.44<br>92.27<br>82.94<br>92.70<br>88.12<br>89.13<br>94.63<br>90.33<br>88.59<br>89.61<br>84.88<br>90.24<br>86.85<br>86.85<br>88.01<br>91.78<br>91.24<br>86.53<br>84.11<br>91.74<br>89.93<br>83.43<br>92.62<br>88.08<br>92.48<br>88.01<br>83.97<br>92.81<br>89.07<br>86.82<br>91.46<br>94.12<br>93.05<br>91.55<br>89.33<br>93.92<br>90.18<br>87.14<br>90.08<br>83.28<br>92.24<br>93.07<br>88.97<br>81.45<br>

Extracted text: Data table Site 1 Site 2 90.85 89.76 93.17 86.94 89.37 88.66 91.44 92.27 82.94 92.70 88.12 89.13 94.63 90.33 88.59 89.61 84.88 90.24 86.85 86.85 88.01 91.78 91.24 86.53 84.11 91.74 89.93 83.43 92.62 88.08 92.48 88.01 83.97 92.81 89.07 86.82 91.46 94.12 93.05 91.55 89.33 93.92 90.18 87.14 90.08 83.28 92.24 93.07 88.97 81.45
In a study, scientists used high-performance liquid chromatography to determine the amount of drug in a tablet. Twenty-five tablets were produced at each of two different, independent sites. Drug concentrations (measured as a percentage) for<br>the tablets produced at the two sites are listed in the accompanying table. The scientists want to know whether there is any difference between the mean drug concentration in tablets produced at Site 1 and the corresponding mean at Site 2. Use<br>the accompanying technology printout to help the scientists draw a conclusion. Use a = 0.05.<br>Assuming equal variance.<br>Click here to view the data table<br>.....<br>Let u, be the population mean drug concentration in tablets produced at Site 1 and µ, be the population mean drug concentration in tablets produced at Site 2. Identify the null and alternative hypotheses for this test.<br>O A. Ho: H1 - H2 = 0<br>Ha: H1 - H2 #0<br>B. Ho: H1 - H2 < 0<br>Hai H1 - H2 = 0<br>%3D<br>O D. Ho: H1 - H2 # 0<br>Hạ: H1 - H2 = 0<br>O C. Ho: H1 - H2 = 0<br>Identify the value of the test statistic.<br>(Round to two decimal places as needed.)<br>Identify the p-value.<br>(Round to three decimal places as needed.)<br>State the conclusion for this hypothesis test, using a = 0.05.<br>A. Reject Ho. There is not sufficient evidence to conclude that there is a difference between the mean drug concentration in tablets produced at Site 1 and the corresponding mean at Site 2.<br>B. Fail to reject Ho. There is sufficient evidence to conclude that there is a difference between the mean drug concentration in tablets produced at Site 1 and the corresponding mean at Site 2.<br>O C. Fail to reject Ho. There is not sufficient evidence to conclude that there is a difference between the mean drug concentration in tablets produced at Site 1 and the corresponding mean at Site 2.<br>O D. Reject Ho. There is sufficient evidence to conclude that there is a difference between the mean drug concentration in tablets produced at Site 1 and the corresponding mean at Site 2.<br>

Extracted text: In a study, scientists used high-performance liquid chromatography to determine the amount of drug in a tablet. Twenty-five tablets were produced at each of two different, independent sites. Drug concentrations (measured as a percentage) for the tablets produced at the two sites are listed in the accompanying table. The scientists want to know whether there is any difference between the mean drug concentration in tablets produced at Site 1 and the corresponding mean at Site 2. Use the accompanying technology printout to help the scientists draw a conclusion. Use a = 0.05. Assuming equal variance. Click here to view the data table ..... Let u, be the population mean drug concentration in tablets produced at Site 1 and µ, be the population mean drug concentration in tablets produced at Site 2. Identify the null and alternative hypotheses for this test. O A. Ho: H1 - H2 = 0 Ha: H1 - H2 #0 B. Ho: H1 - H2 < 0 hai h1 - h2 = 0 %3d o d. ho: h1 - h2 # 0 hạ: h1 - h2 = 0 o c. ho: h1 - h2 = 0 identify the value of the test statistic. (round to two decimal places as needed.) identify the p-value. (round to three decimal places as needed.) state the conclusion for this hypothesis test, using a = 0.05. a. reject ho. there is not sufficient evidence to conclude that there is a difference between the mean drug concentration in tablets produced at site 1 and the corresponding mean at site 2. b. fail to reject ho. there is sufficient evidence to conclude that there is a difference between the mean drug concentration in tablets produced at site 1 and the corresponding mean at site 2. o c. fail to reject ho. there is not sufficient evidence to conclude that there is a difference between the mean drug concentration in tablets produced at site 1 and the corresponding mean at site 2. o d. reject ho. there is sufficient evidence to conclude that there is a difference between the mean drug concentration in tablets produced at site 1 and the corresponding mean at site 2. 0="" hai="" h1="" -="" h2="0" %3d="" o="" d.="" ho:="" h1="" -="" h2="" #="" 0="" hạ:="" h1="" -="" h2="0" o="" c.="" ho:="" h1="" -="" h2="0" identify="" the="" value="" of="" the="" test="" statistic.="" (round="" to="" two="" decimal="" places="" as="" needed.)="" identify="" the="" p-value.="" (round="" to="" three="" decimal="" places="" as="" needed.)="" state="" the="" conclusion="" for="" this="" hypothesis="" test,="" using="" a="0.05." a.="" reject="" ho.="" there="" is="" not="" sufficient="" evidence="" to="" conclude="" that="" there="" is="" a="" difference="" between="" the="" mean="" drug="" concentration="" in="" tablets="" produced="" at="" site="" 1="" and="" the="" corresponding="" mean="" at="" site="" 2.="" b.="" fail="" to="" reject="" ho.="" there="" is="" sufficient="" evidence="" to="" conclude="" that="" there="" is="" a="" difference="" between="" the="" mean="" drug="" concentration="" in="" tablets="" produced="" at="" site="" 1="" and="" the="" corresponding="" mean="" at="" site="" 2.="" o="" c.="" fail="" to="" reject="" ho.="" there="" is="" not="" sufficient="" evidence="" to="" conclude="" that="" there="" is="" a="" difference="" between="" the="" mean="" drug="" concentration="" in="" tablets="" produced="" at="" site="" 1="" and="" the="" corresponding="" mean="" at="" site="" 2.="" o="" d.="" reject="" ho.="" there="" is="" sufficient="" evidence="" to="" conclude="" that="" there="" is="" a="" difference="" between="" the="" mean="" drug="" concentration="" in="" tablets="" produced="" at="" site="" 1="" and="" the="" corresponding="" mean="" at="" site="">
Jun 07, 2022
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