-45.6 is the answer if you evaluate
Answer:
If the observed sample mean is greater than 17.07 minutes, then we would reject the null hypothesis.
Step-by-step explanation:
We are given the following in the question:
Population mean, μ = 15 minutes
Sample size, n = 10
Alpha, α = 0.05
Population standard deviation, σ = 4 minutes
First, we design the null and the alternate hypothesis
Since the population standard deviation is given, we use one-tailed z test to perform this hypothesis.
Formula:
Now,
Thus, we would reject the null hypothesis if the z-statistic is greater than this critical value.
Thus, we can write:

Thus, the decision rule would be if the observed sample mean is greater than 17.07 minutes, then we would reject the null hypothesis.
To find this you need to first figure out ow many total dresses were surveyed, which is 162. Now to find the percent you first need to take the number of red dresses and divide it by the total, so 14/162. That equals 0.086. Then to get to a percent, shift the decimal two places to the right, so 8.6%. The round to the nearest percent which is 9%. So the correct answer would be A.
1. Simplifying ∛54 gives 3∛2
2. 27^1/3 * (27)^3 is equal to 27
3. The expression (2j4k)^4/5 can be written as
making the first option the correct option
4. simplifying
will result to 2x∛y
5. simplifying
will result to
making the last option the correct option
<h3>How to simplify
![\sqrt[5]{2940x^{13} y^{7} }](https://tex.z-dn.net/?f=%5Csqrt%5B5%5D%7B2940x%5E%7B13%7D%20y%5E%7B7%7D%20%7D)
</h3>
<u>given data</u>
![\sqrt[5]{2940x^{13} y^{7} }](https://tex.z-dn.net/?f=%5Csqrt%5B5%5D%7B2940x%5E%7B13%7D%20y%5E%7B7%7D%20%7D)
= ( 2940 * x^13 * y^7 )^1/5



multiplying the values inside the parenthesis by ^1/2







we can therefore say that the last option is the answer
Read more on equations here: brainly.com/question/22688504
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Looking at your "<span>16 -3/4," I see only one possibility: "combine the following."
</span><span>16 -3/4 is the same as 15 + 4/4 - 3/4, or 15 1/4.
Similarly, 16 - 0.75 = 15.25 = 15 1/4.</span>