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sattari [20]
3 years ago
11

Sec (x) = -2.3. If x and y are complementary, what is csc (y)?

Mathematics
1 answer:
inna [77]3 years ago
8 0

Answer:

eat my cog

Step-by-step

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If you plan to keep your mileage within 12,000 to 15,000 miles per year, maintain the car very well, and only keep it for about
Anna11 [10]

Answer: 1: lease the car, 2: 4,643.46 3: 12,160.26

Step-by-step explanation:

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3 years ago
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From the given equation
Katarina [22]

Answer:

  • <em>See attached</em>

a)

<u>The table:</u>

  • <u>x | -3 | -2 | -1 | 0 | 1  | 2 | 3</u>
  • y | -5 | -3 | -1 | 1  | 3 | 5 | 7

b)

  • The graph is pictured

c)

  • The y-intercept has coordinates of (0, 1)

5 0
3 years ago
A sample of size 6 will be drawn from a normal population with mean 61 and standard deviation 14. Use the TI-84 Plus calculator.
AVprozaik [17]

Answer:

X \sim N(61,14)  

Where \mu=61 and \sigma=14

Since the distribution for X is normal then the distribution for the sample mean  is also normal and given by:

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

\mu_{\bar X} = 61

\sigma_{\bar X}= \frac{14}{\sqrt{6}}= 5.715

So then is appropiate use the normal distribution to find the probabilities for \bar X

Step-by-step explanation:

Previous concepts

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".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  The letter \phi(b) is used to denote the cumulative area for a b quantile on the normal standard distribution, or in other words: \phi(b)=P(z

Solution to the problem

Let X the random variable that represent the variable of interest of a population, and for this case we know the distribution for X is given by:

X \sim N(61,14)  

Where \mu=61 and \sigma=14

Since the distribution for X is normal then the distribution for the sample mean \bar X is also normal and given by:

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

\mu_{\bar X} = 61

\sigma_{\bar X}= \frac{14}{\sqrt{6}}= 5.715

So then is appropiate use the normal distribution to find the probabilities for \bar X

8 0
3 years ago
Valerie earns $24 per hour. which expression can be used to show how much money she earns in 7 hours
Natalija [7]
Y = 24 x
y= 24(7)
y=168 hrs
5 0
3 years ago
Solve the system of equations by substitution.
n200080 [17]

Answer:

x = -8

y = -6

Step-by-step explanation:

y = -2x - 22

y = x + 2

x + 2 = -2x - 22

x + 2x = -22 - 2

3x = -24

x = -24 : 3

x= -8

y = -8 + 2

y = -6

4 0
2 years ago
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