Answer:
121
Step-by-step explanation:
we know that
A <u><em>perfect square</em></u> is an integer that is the square of an integer.
In this problem
The integer or base factor is equal to 11
therefore
squared the integer to find out the perfect square

3x 5x 7x 9x 11x 13x 15x 17x 19x 21x 23x
Answer:
Option B is correct.
If we assume that 57% of Americans says that GM foods are generally unsafe to eat, then there is an 8.8% chance that random sample results will show 60% or more who says that GM foods are generally unsafe to eat.
Step-by-step explanation:
In Hypothesis testing, p-value helps to show the significance of one's results.
For hypothesis testing, the first thing to define is the null and alternative hypothesis.
The null hypothesis plays the devil's advocate and is always about the absence of significant difference between two variables being compared.
While, the alternative hypothesis takes the other side of the hypothesis; that there is indeed a significant difference between two proportions being compared.
For this question, the null hypothesis is that 57% of Americans say that GM foods are generally unsafe to eat.
H₀: p = 0.57
And the alternative hypothesis would be that more than 57% of Americans say that GM foods are generally unsafe to eat.
Hₐ: p > 0.57
The p-value is actually defined as the probability of obtaining results as extreme as the observed results in the statistical analysis provided that the null hypothesis is true.
For this question , it is evident that the p-value (0.088) is expressing the probability of getting results as extreme as 60% or more Americans saying that GM foods are unsafe to eat provided that the null hypothesis (57% of Americans say that GM foods are generally unsafe to eat) is true.
Hope this Helps!!!
Answer:
A sample size of at least 1,353,733 is required.
Step-by-step explanation:
In a sample with a number n of people surveyed with a probability of a success of , and a confidence level of , we have the following confidence interval of proportions.

In which
z is the zscore that has a pvalue of .
The margin of error is:

98% confidence level
So
, z is the value of Z that has a pvalue of
, so
.
You would like to be 98% confident that you esimate is within 0.1% of the true population proportion. How large of a sample size is required?
We need a sample size of at least n.
n is found when M = 0.001.
Since we don't have an estimate for the proportion, we use the worst case scenario, that is 
So






Rounding up
A sample size of at least 1,353,733 is required.
Answer:
There are 9,313,920 inches in 147 miles
Step-by-step explanation: