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alexira [117]
3 years ago
11

X²+2kx-3 where X=-1/2 find k​

Mathematics
1 answer:
telo118 [61]3 years ago
5 0

Answer:

k =11/4 according to my calculation.hope this might be helpful

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-7/10 divided by 2/5 in it's simplest form
sergey [27]
The answer is -1 and 3/4
5 0
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Please help! It’s very confusing and it’s not 1+(n-1)1 btw
REY [17]

It's t_n=n for <em>n</em> = 1, 2, 3, …

4 0
3 years ago
GIVING OUT BRAINLIEST ANSWER !! HELP ME OUT PLSS!!
Karo-lina-s [1.5K]

Answer:

x = 7 hope this helps !!!

Step-by-step explanation:

Type 1: You know the short leg (the side across from the 30-degree angle). Double its length to find the hypotenuse. You can multiply the short side by the square root of 3 to find the long leg.

Type 2: You know the hypotenuse. Divide the hypotenuse by 2 to find the short side. Multiply this answer by the square root of 3 to find the long leg.

Type 3: You know the long leg (the side across from the 60-degree angle). Divide this side by the square root of 3 to find the short side. Double that figure to find the hypotenuse.

this is a type 3 triangle, and you can find the length of y from it, it being 14, and x is half of y, being 7

4 0
3 years ago
Read 2 more answers
The chi-square test statistic is χ2 = 18.68 and the P-value is between 0.0025 and 0.005. What conclusion should the researcher m
diamong [38]

We don't know what the exact p-value is, but we are told that it's as large as 0.005 which is smaller than alpha = 0.05

Since the p-value is smaller than alpha, this means we <u>reject the null hypothesis</u>.

The way you can remember this is "if the p-value is low, then the null must go". By "low", I mean "smaller than alpha".

Recall that the p-value is the probability of observing that specific test statistic, or larger. So the chances of chi-squared being 18.68 or larger is a probability between 0.0025 and 0.005; there's a very small chance of this happening. The p-value is based entirely on the assumption that the null is correct. But if the null is correct, then the chances of landing on this are very small. We have a contradiction that basically leads to us concluding the null must not be the case. It's not 100% guaranteed of course, but it's fairly strong evidence.

In short, the p-value being smaller than alpha = 0.05 means we reject the null.

In order to accept the null, the p-value must be 0.05 or larger.

5 0
3 years ago
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