Answer:
about 0.39 (inelastic)
Step-by-step explanation:
Elasticity of supply is the ratio of percentage supply change to a corresponding percentage of price change. Here, that is ...
eos = (410/380 -1)/(0.20) = 0.78947/0.2 ≈ 0.3947
Values below 1 are said to correspond to an <em>inelastic</em> supply, one not very sensitive to price.
The first 15 digits of Pi are:
<span>3.14159265358979
</span>
Remember, you will usually never use this form of Pi in math, because you usually only use 3.14
~Hope I helped!~
Answer:B.27
Step-by-step explanation:
If right please mark as brainly
Answer:
A. 13.34
Step-by-step explanation:
This is the formula d=√((x_2-x_1)²+(y_2-y_1)²)
Plug in
d=√(-1-2)² + (4+9)²
d= √9 + 169
d= √178
d= 13.34
Answer:
Correct option: (B)
Step-by-step explanation:
A one-sample <em>t</em>-test can be performed to determine whether the mean weight of female college students is still 59.4 kg.
The hypothesis can be defined as:
<em>H₀</em>: The mean weight of female college students has changed.
<em>Hₐ</em>: The mean weight of female college students has not changed.
The information provided is:

As the there is no information about the population standard deviation we will use a <em>t</em>-test for the mean.
The test statistic is:

Decision rule:
If the if the <em>p</em>-value of the test is less than the significance level of the test <em>α</em> then the null hypothesis will be rejected and vice versa.
The degrees of freedom of the test is:

The test is two-tailed.
Compute the <em>p</em>-value of the test as follows:

*Use a <em>t</em>-table for the probability.
The <em>p</em>-value = 0.13 > <em>α</em> = 0.10
The null hypothesis was failed to be rejected.
As the null hypothesis was rejected it can be concluded that there is not sufficient evidence that the mean weight of female students has changed.