Answer:
Waffle house :3
Step-by-step explanation:
Answer:
no of sample within two percentage points is 5409
no of sample not use prior estimates is 8321
Step-by-step explanation:
Given data
E = 2% = 0.02
male m = 21.2 % = 0.212
female f = 19.7 % = 0.197
to find out
no of sample within two percentage points and if does not use any prior estimates
solution
first we calculate no of sample within two percentage points
we know Z critical value for 99% is 2.58
so no of sample will be
n = (Z / E )² × m(1-m) + f ( 1-f )
put all the value we get no of sample
n = (2.58 / 0.02 )² × 0.212 ( 1 - 0.212 ) + 0.197 ( 1 - 0.197 )
n = 16641 ×0.3250
no of sample within two percentage points is 5409
in 2nd part no of sample not use prior estimates
here than f and m will be 0.5
than
n = (Z / E )² × m(1-m) + f ( 1-f )
put all value
n = (2.58 / 0.02 )² × 0.5 ( 1 - 0.5 ) + 0.5 ( 1 - 0.5 )
n = 16641 × 0.5
no of sample not use prior estimates is 8321
Number one: Just plot down on the number like the numbers you have. Just took the test for this.
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 :)
Answer:
c
Step-by-step explanation:
