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jeka57 [31]
3 years ago
7

Solve for x: −1 < x + 3 < 5

Mathematics
1 answer:
Inessa05 [86]3 years ago
3 0

Answer:

-4<x<2

Step-by-step explanation:

the picture is the steps

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Which statement best describes the relationship between the two variables?
ELEN [110]

Answer:

b

Step-by-step explanation:

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3 years ago
Last month, Luiza's bank statement said that she had money in her account. Her bank balance was 109.32 rubles. This month, Luiza
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a- luiza overdrew her account by 87.12 rubles

Step-by-step explanation:

6 0
3 years ago
Read 2 more answers
A sample of eight workers in a clothing manufacturing company gave the following figures for the amount of time(in minutes) need
lilavasa [31]

Answer:

10.108 < \mu < 13.892    

Step-by-step explanation:

1) Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

\bar X represent the sample mean for the sample  

\mu population mean (variable of interest)

s represent the sample standard deviation

n represent the sample size  

We have the following distribution for the random variable:

X \sim N(\mu , \sigma=0.45)

And by the central theorem we know that the distribution for the sample mean is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

2) Confidence interval

The confidence interval for the mean is given by the following formula:

\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}   (1)

In order to calculate the mean and the sample deviation we can use the following formulas:  

\bar X= \sum_{i=1}^n \frac{x_i}{n} (2)  

s=\sqrt{\frac{\sum_{i=1}^n (x_i-\bar X)}{n-1}} (3)  

The mean calculated for this case is \bar X=12

The sample deviation calculated s=2.268

In order to calculate the critical value t_{\alpha/2} we need to find first the degrees of freedom, given by:

df=n-1=8-1=7

Since the Confidence is 0.95 or 95%, the value of \alpha=0.05 and \alpha/2 =0.025, and we can use excel, a calculator or a tabel to find the critical value. The excel command would be: "=-T.INV(0.025,7)".And we see that t_{\alpha/2}=2.36

Now we have everything in order to replace into formula (1):

12-2.36\frac{2.268}{\sqrt{8}}=10.108    

12+2.36\frac{2.268}{\sqrt{8}}=13.892

So on this case the 95% confidence interval would be given by (10.108;13.892)

10.108 < \mu < 13.892    

7 0
3 years ago
A basketball player made 75 baskets in a season. Of these, 8% were three-point shots. How many three-point shots did the player
ale4655 [162]

Answer:

6

Multiply 75 by .08, because that's 8% in decimal from.

6 0
3 years ago
What equation is equivalent to x^4-12x^2+36
vredina [299]
Simply solve the square.

(X^2-6)^2
7 0
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