Plug in the given values and you'll see its option 2.
x=0 , f(x) = 0^2 + 1 = 1
x = 1 , f(x) = 1^2 + 1 = 2
x = 2, f(x) = 2^2 + 1 = 5
Answer:
Always consider the cost and the reliability of the sparse matrices.
Step-by-step explanation:
Using the normal distribution, there is a 0.2148 = 21.48% probability that the sum of the 40 values is less than 7,100.
<h3>Normal Probability Distribution</h3>
The z-score of a measure X of a normally distributed variable with mean and standard deviation is given by:
- The z-score measures how many standard deviations the measure is above or below the mean.
- Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.
- By the Central Limit Theorem, the sampling distribution of sample means of size n has standard deviation .
For this problem, these parameters are given as follows:
A sum of 7100 is equivalent to a sample mean of 7100/40 = 177.5, which means that the probability is the <u>p-value of Z when X = 177.5</u>, hence:
By the Central Limit Theorem:
Z = -0.79
Z = -0.79 has a p-value of 0.2148.
There is a 0.2148 = 21.48% probability that the sum of the 40 values is less than 7,100.
More can be learned about the normal distribution at brainly.com/question/28135235
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<h3>
Answer:</h3><h3>cos(-t) = -4/9</h3><h3>sec(-t) = -9/4</h3>
Explanation:
Since cosine is an even function, we can say cos(-t) = cos(t) for all values of t. So this explains why cos(-t) = cos(t) = -4/9. No change happens.
To find the secant value, we apply the reciprocal. This is because sec = 1/cos. So that's how -4/9 flips to -9/4.