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Hoochie [10]
3 years ago
5

Write the following equation in slope-intercept form.

Mathematics
1 answer:
Viktor [21]3 years ago
3 0

Answer:

y=3/2x-5/2

Step-by-step explanation:

subtract the 3x from both sides and then divide everything by -2.

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Word problem of addition or subtraction
ki77a [65]

Answer:

subtraction

Step-by-step explanation:

In order to find out how many more flowers you need, you need to subtract both of the numbers to get the difference.

3 0
3 years ago
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Kate wants to buy 2.5 pounds of Peanuts that cost $2.60/lb. and 3 1/2 pounds of M&Ms that cost $8.50 per pound. How much wil
olganol [36]

Answer:

36.25

Step-by-step explanation:

multiply 2.5 and 2.6 (6.5)

then multiply 3.5 and 8.5 (29.75)

add them together

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3 years ago
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To make a cup of tea, 35.5mL of milk is added to 65.45mL of plain tea. How much milk-tea is there in the cup?
valina [46]

Answer 29.95 your welcome.

Step-by-step explanation:

Ok so you will just need to subtract 65.45-35.5 and get your answer.

Ps could have used a calculator.

5 0
3 years ago
A random sample of 100 teletype operators indicates that their salaries fluctuate quite a bit. The sample Standard deviation of
ELEN [110]

Answer:

\frac{(99)(10)^2}{123.225} \leq \sigma^2 \leq \frac{(99)(10)^2}{77.046}

80.341 \leq \sigma^2 \leq 128.495

Now we just take square root on both sides of the interval and we got:

8.963 \leq \sigma \leq 11.336

Step-by-step explanation:

Data given and notation

s=10 represent the sample standard deviation

\bar x represent the sample mean

n=100 the sample size

Confidence=90% or 0.90

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 mean or variance 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.

The Chi Square distribution is the distribution of the sum of squared standard normal deviates .

Calculating the confidence interval

The confidence interval for the population variance is given by the following formula:

\frac{(n-1)s^2}{\chi^2_{\alpha/2}} \leq \sigma^2 \leq \frac{(n-1)s^2}{\chi^2_{1-\alpha/2}}

The next step would be calculate the critical values. First we need to calculate the degrees of freedom given by:

df=n-1=100-1=99

Since the Confidence is 0.90 or 90%, the value of \alpha=0.1 and \alpha/2 =0.05, and we can use excel, a calculator or a table to find the critical values.  

The excel commands would be: "=CHISQ.INV(0.05,99)" "=CHISQ.INV(0.95,99)". so for this case the critical values are:

\chi^2_{\alpha/2}=123.225

\chi^2_{1- \alpha/2}=77.046

And replacing into the formula for the interval we got:

\frac{(99)(10)^2}{123.225} \leq \sigma^2 \leq \frac{(99)(10)^2}{77.046}

80.341 \leq \sigma^2 \leq 128.495

Now we just take square root on both sides of the interval and we got:

8.963 \leq \sigma \leq 11.336

5 0
3 years ago
Help i dont know what to do
Vsevolod [243]
Hey so the answer is D because when you subtract you would get the other side of the problem
6 0
3 years ago
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