Answer:
Step-by-step explanation:
True statements
All equallateral triangles are similar. Their sides are all in the same ratio when comparred.
All squares are similar. Same reason as equilateral triangles. All sides to both squares compared are the same.
False Statements
Isosceles triangles can and usually do have different base angles.
rectangles can have all sorts or side lengths. The only requirement is consecutive sides form right angles.
2 rhombuses can have side lengths that are in the same ratio, but the heights are not in the same ratio. That eleminates.
Answer
These are the only true ones: Statements 2 and 5 are true. The rest are not.
Answer:
Volume of the Crockpot = πr^2h
= 3.14 x 6 x 6 x 15
= 3.14 x 540 in^3
Volume of double batch of chili = 900 x 2 = 1800 in^3
3.14 x 540/1800 = 9.42/10 = 0.942 < 1
Since the value we found by dividing the volume of Crockpot by double batch of chili is less than 1, we can say that the Crockpot will not hold the double batch of chili
Hope this helps!
Answer:
11 and 11
Step-by-step explanation:
brainliest^:)
Answer:
i wish i could help but its kind of over a minute but the answer is C
Answer:
The P-value is 0.0166.
Step-by-step explanation:
<u>The complete question is:</u> In a one-tail hypothesis test where you reject H0 only in the lower tail, what is the p-value if ZSTAT = -2.13.
We are given that the z-statistics value is -2.13 and we have to find the p-value.
Now, the p-value of the test statistics is given by the following condition;
P-value = P(Z < -2.13) = 1 - P(Z 2.13)
= 1 - 0.9834 = <u>0.0166</u>
Assuming that the level of significance is 0.10 or 10%.
The decision rule for rejecting the null hypothesis based on p-value is given by;
- If the P-value of the test statistics is less than the level of significance, then we have sufficient evidence to reject the null hypothesis.
- If the P-value of the test statistics is more than the level of significance, then we have insufficient evidence to reject the null hypothesis.
Here, the P-value is more than the level of significance as 0.0166 > 0.10, so we have insufficient evidence to reject the null hypothesis, so we fail to reject the null hypothesis.