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Xelga [282]
3 years ago
12

HELP PLZ!!!!!!!!!!!!!

Mathematics
1 answer:
ArbitrLikvidat [17]3 years ago
4 0
I think it is C it is like a right angle
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Complete the ordered pair.<br> The graph of y= sin(2x - 1) passes through the point (___,0).
Westkost [7]

Answer:

(0.5,0)

Step-by-step explanation:

Input the equation into a graphing calculator

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3 years ago
Help pls I will give 37 points if helped
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What does it say I can’t see
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Arlene is comparing the prices of two truck rental companies. Company A charges $7 per hour and an additional $30 as service cha
Valentin [98]

Answer:

Part A: 7n + 30= -5 and 8n + 40= 16

Part B: 7(8) + 30= 86 and 8(8) + 40= 104

Part C: Company A saves you 12.

Step-by-step explanation:

Company A: 7n + 30

Company B: 8n + 40

7n + 30= -5       8n + 40= 16

7(8) +30= 86     8(8) +40= 104

7(2) + 30= 44    8(2) + 40= 56

56 - 44= 12

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3 years ago
HELP ASAP NOOOOOOOOOOOOWWW!!!!!!!!!!! 30 POINTS
katrin2010 [14]

Answer:

24m+30

Step-by-step explanation:

6(4m+5)

Use the distributive property to multiply 6 by 4m+5.

24m+30

3 0
3 years ago
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A researcher reports survey results by stating that the standard error of the mean is 25 the population standard deviation is 40
bezimeni [28]

Answer:

a) A sample of 256 was used in this survey.

b) 45.14% probability that the point estimate was within ±15 of the population mean

Step-by-step explanation:

This question is solved using the normal probability distribution and the central limit theorem.

Normal probability distribution

When the distribution is normal, we use 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}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

a. How large was the sample used in this survey?

We have that s = 25, \sigma = 400. We want to find n, so:

s = \frac{\sigma}{\sqrt{n}}

25 = \frac{400}{\sqrt{n}}

25\sqrt{n} = 400

\sqrt{n} = \frac{400}{25}

\sqrt{n} = 16

(\sqrt{n})^2 = 16^2[tex][tex]n = 256

A sample of 256 was used in this survey.

b. What is the probability that the point estimate was within ±15 of the population mean?

15 is the bounds with want, 25 is the standard error. So

Z = 15/25 = 0.6 has a pvalue of 0.7257

Z = -15/25 = -0.6 has a pvalue of 0.2743

0.7257 - 0.2743 = 0.4514

45.14% probability that the point estimate was within ±15 of the population mean

3 0
3 years ago
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