Answer:
The right answer is:
"If 74% of Americans still favor mandatory testing this year, then there is a 1.5% chance that poll results will show 71% or fewer with this opinion."
Step-by-step explanation:
The P-value represents the probability of getting the sample we got, given that the null hypothesis is true. For this reason, it the P-value is lower than the significance level, it means that the sample result is unlikely due to chance, but due to a false null hypothesis.
In this case, the P-value represents a probability P=0.015 of having a sample with proportion p=0.71, given that the population has a proportion π=0.74.
The right answer is:
"If 74% of Americans still favor mandatory testing this year, then there is a 1.5% chance that poll results will show 71% or fewer with this opinion."
Answer:
<h2>M(-6, 4)</h2>
Step-by-step explanation:
The formula of a midpoint of (x₁, y₁) and (x₂, y₂):
We have two points (-3, 7) and (-9, 1).
Substitute:
Answer:
-29/6
Step-by-step explanation:
1 1/6=7/6
-3 2/3=-11/3
-11/3-7/6
-22/6-7/6=-29/6
Continuous vs discrete is if you can count vs. measure the results. For example: you can run 13. 5 miles but you can't have 13.5 dogs. Miles (measurable) are continuous while dogs (countable) are discrete.
Qualitative results are when a result is not a number, and qualitative is when the result is a number. For example: if you're doing a lab and a result is either going to be "blue" or "green", that's qualitative, since those aren't number values. However, if you were measuring distance, that would be qualitative, since you would get a result of "6 meters" or "2.5 inches", which are numerical values.
The scale of measurement are the units in which you are measuring something it. For example: distance has units of inches, feet, miles, etc... and weight has units of grams, kilograms, tons, etc...
Hope this helps! -Alex :)
