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olchik [2.2K]
2 years ago
3

The center of a normal curve is a. cannot be negative b. always equal to zero c. is the mean of the distribution d. is the stand

ard deviation
Mathematics
1 answer:
sergij07 [2.7K]2 years ago
3 0

The center of a normal curve <u>is the </u><u>mean </u><u>of the distribution</u>, making <u>option C</u> the right choice.

A normal distribution—also known as the <u>bell curve</u> or <u>De Moivre distribution</u>—occurs naturally in a variety of circumstances. Bell curve symmetry is present. The data will split in two, falling half to the left and half to the right of the mean.

The characteristics of a normal curve are as follows:

  1. Bell-like symmetrical form.
  2. The distribution's mean and median, both of which are situated in their center, are equal.
  3. ≈ 68% of the data is within one standard deviation of the mean.
  4. ≈ 95% of the data is within two standard deviations of the mean.
  5. ≈ 99.7% of the data is within three standard deviations of the mean.

Thus, the center of a normal curve <u>is the </u><u>mean </u><u>of the distribution</u>, making <u>option C</u> the right choice.

Learn more about normal curves at

brainly.com/question/23418254

#SPJ4

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Q ##10 please I need help with this
algol [13]

Here we are given the inequality:

y\geq4x-5

Let us check for each ordered pair that satisfies the given inequality.

1. (3,0)

LHS: y

here y is 0.

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RHS: 4x-5

plugging x as 3,

4(3)-5 = 7

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2. (1,1)

LHS: y

here y is 1.

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plugging x as 1,

4(1)-5 = -1

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1. (3,4)

LHS: y

here y is 4.

So LHS is 4.

RHS: 4x-5

plugging x as 3,

4(3)-5 = 7

4≥7

False

So (3,4) does not satisfy the inequality.

1. (2,1)

LHS: y

here y is 1.

So LHS is 1.

RHS: 4x-5

plugging x as 2,

4(2)-5 = 3

2≥3

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Answer: (1,1) is the solution of the given inequality.

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An industrial expert claims that the average useful lifetime of a typical car transimssion which comes with ten years warranty i
lesya692 [45]

Answer:

a. none of these answers

Data provides sufficient evidence, at 1% significance level, to support the expert's claim. In addition the p-value (or the observed significance level) is equal to P( T >3.281)

Step-by-step explanation:

Data given and notation  

\bar X=13.5 represent the mean height for the sample  

s=3.2 represent the sample standard deviation for the sample  

n=9 sample size  

\mu_o =10 represent the value that we want to test

\alpha=0.01 represent the significance level for the hypothesis test.  

t would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the mean is higher than 10 years, the system of hypothesis would be:  

Null hypothesis:\mu \leq 10  

Alternative hypothesis:\mu > 10  

If we analyze the size for the sample is < 30 and we don't know the population deviation so is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:  

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}  (1)  

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

Calculate the statistic

We can replace in formula (1) the info given like this:  

t=\frac{13.5-10}{\frac{3.2}{\sqrt{9}}}=3.28    

P-value

The first step is calculate the degrees of freedom, on this case:  

df=n-1=9-1=8  

Since is a one side right tailed test the p value would be:  

p_v =P(t_{(8)}>3.281)=0.00558  

Conclusion  

If we compare the p value and the significance level given \alpha=0.01 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, so we can't conclude that we have a mean higher than 10 years at 1% of significance.  

a. none of these answers

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