Which graph represents y=3 sqrt x+6- 3?

The letters that spell TENNESSEE are each written on separate tiles lying facedown on a table. A tile is selected at random, the

DochEvi [55]

Answer:

There are 9 Letters in TENNESSEE. And 4 letters are E.

So the correct probability is 4/9.

6 0

3 years ago

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You are _____ to commit a Type I error using the 0.05 level of significance than using the 0.01 level of significance. Group of

soldi70 [24.7K]

More likely -You are more likely to commit a Type I error

According to statement

we have to find the type 1 error by using the significant levels.

we are commit a MORE LIKELY to find the error by rejecting a true null hypothesis using the 0.05 level of significance than using the 0.01 level of significance.

So, More likely -You are more likely to commit a Type I error

Learn more about HYPOTHESIS here brainly.com/question/11555274

#SPJ4

5 0

2 years ago

What are the values of x in the equation 4x2 4x – 3 = 0? x = –1.5, 0.5 x = –0.5, –1.5 x = x =?

Stolb23 [73]

Answer:

The values of x are

$x=-1.5\ , 0.5$

Step-by-step explanation:

we have

$4x^{2}+4x-3=0$

Group terms that contain the same variable, and move the constant to the opposite side of the equation

$4x^{2}+4x=3$

Factor the leading coefficient

$4(x^{2}+x)=3$

Complete the square. Remember to balance the equation by adding the same constants to each side.

$4(x^{2}+x+.25)=3+1$

$4(x^{2}+x+.25)=4$

$(x^{2}+x+.25)=1$

Rewrite as perfect squares

$(x+0.5)^{2}=1$

Square root both sides

$x+0.5=(+/-)1$

$x=-0.5(+/-)1$

$x=-0.5+1=0.5$

$x=-0.5-1=-1.5$

3 0

4 years ago

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The scores on the GMAT entrance exam at an MBA program in the Central Valley of California are normally distributed with a mean

Kaylis [27]

Answer:

58.32% probability that a randomly selected application will report a GMAT score of less than 600

93.51% probability that a sample of 50 randomly selected applications will report an average GMAT score of less than 600

98.38% probability that a sample of 100 randomly selected applications will report an average GMAT score of less than 600

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .