The following data are metabolic expenditures for 8 patients…

The following data are metabolic expenditures for 8 patients admitted to a hospital for reasons other than trauma and for 7 patients admitted for multiple fractures (trauma). Compare the trauma and non-trauma patients in terms of the expenditure values. Use a 5% level of significance. Propose an alternative statistical inference method for comparing the trauma and non-trauma patients in terms of the expenditure values.  image6.jpg image7.jpgimage8.jpg image4.jpg image5.jpg

Two researchers want to test the hypotheses Ho: μ1 =μ2. Rese…

Two researchers want to test the hypotheses Ho: μ1 =μ2. Researcher 1 does a study and has 100 observations in each group and t= 3.05.  Researcher 2 does a study and has 100 observations in each group and t= 2.04 (variances were the same for all groups for both researchers). Which researcher is more likely to reject the null hypothesis?

In the lead-up to the 2024 U.S. elections, a nationwide poll…

In the lead-up to the 2024 U.S. elections, a nationwide poll was conducted one month before election day to measure public support for Issue 1. The poll surveyed 1,000 registered voters, evenly split between Democrats and Republicans, to determine their stance on the issue. Compare the proportions of Democrats and Republicans who support the issue and assess whether the level of support differs significantly between the two groups. image10.jpg image9.jpg Provide the interpretation of the test statistic. The difference in the sample proportions of is standard errors (above/below) the null hypothesized value of .  

A health management firm has samples of satisfaction ratings…

A health management firm has samples of satisfaction ratings from former patients of two hospitals (A, B), and wants to know if one is rated more highly than the other. The information will be used to refer patients and to make suggestions for hospital improvement. Use a 5% level of significance. Classify the two given samples as independent or dependent. image1.jpg    

To illustrate the effects of driving under the influence​ (D…

To illustrate the effects of driving under the influence​ (DUI) of​ alcohol, a police officer brought a DUI simulator to a local high school. Student reaction time in an emergency was measured with unimpaired vision and also while wearing a pair of special goggles to simulate the effects of alcohol on vision. For a random sample of nine​ teenagers, the time​ (in seconds) required to bring the vehicle to a stop from a speed of 60 miles per hour was recorded.  Report the value of the sample mean of the differences in reaction times. Estimate with 95% confidence the mean of the differences in the reaction times. Report the endpoints of the 95% confidence interval, the corresponding margin of error ME, the width of the interval, and provide its interpretation.  Report values as seen in the Minitab output – do not round. If a value is 0.055 please type as seen ( avoid shortcuts like .055 or .06). Screen Shot 2020-11-03 at 3.06.40 PM(1).png Picture1(1)(2).png    Confidence interval: (, ) Interpretation: we are % confident that the of the differences in the reaction times is between and . Mean of the differences inreaction times = Margin of error = Width of CI=

In the lead-up to the 2024 U.S. elections, a nationwide poll…

In the lead-up to the 2024 U.S. elections, a nationwide poll was conducted one month before election day to measure public support for Issue 1. The poll surveyed 1,000 registered voters, evenly split between Democrats and Republicans, to determine their stance on the issue. Compare the proportions of Democrats and Republicans who support the issue and assess whether the level of support differs significantly between the two groups. image10.jpg image9.jpgReport the endpoints of a 95% confidence interval for estimating the difference in proportion Democrats and Republicans who support issue 1. Then, compute and report the width of the confidence interval and margin of error. (Report all values rounded to two decimal places).                lower endpoint = ,       upper endpoint =               width=,  margin of error =