A randomized study compared the effectiveness of two mosquito repellents. The treatment group using Spray A reported a mean of 3
.5 mosquito bites. The treatment group using Spray B reported a mean of 5.6 mosquito bites.
To determine if the results are significant, the data are re-randomized and the differences of the means are shown in the dot plot.
What is the best conclusion to make based on the data?
To determine if the results are significant, the data are re-randomized and the differences of the means are shown in the dot plot.
What is the best conclusion to make based on the data?
1 answer:
Answer:
The difference of the means is not significant because the re-randomizations show that it is within the range of what could happen by chance.
Step-by-step explanation:
Given that:
The treatment group using Spray A reported a mean of 3.5 mosquito bites.
The treatment group using Spray B reported a mean of 5.6 mosquito bites.
After the data are re-randomized; the differences of the means are shown in the dot plot. The dot plot is attached in the file below;
The best conclusion that can be make based on the data from the dot plot is :
The difference of the means is not significant because the re-randomizations show that it is within the range of what could happen by chance.
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Answer:
slope = -3; y-intercept = 1/2
Step-by-step explanation:
A way to solve this problem would be to write equations based off of the answer choices on the right, plug the x and y values from the chart into those equations, and see if they are true.
Let's look at the third option choice. Given that the slope = -3 and the y-intercept is 1/2, we can write an equation using the slope-intercept format, y= mx + b, where m is the slope and b is the y-intercept. So, the equation for that would be y= -3x + 1/2.
Let's try plugging in some x and y values and testing if they are true. Let's take the point from the chart for example:
So, since does equal to
, it is true, making that the correct answer. You could plug in any other point from the chart to check, too - it's good to check multiple, but for the sake of brevity, I just put that as one example.