Lucy buys a greeting card for $4.50 She then buys 5 postcards that all cost the same amount. The total cost is $7.00 How much is each postcard?

Answers

Answer 1

Answer: So as u can do $1.40 x 5 will = $7.00 so then the amount will be 1.40 each

Related Questions

You have been saving dimes for long time and take all of them to the bank to exchange for dollar bills. the teller weighs the dimes and records a total mass of 3358 g. of a dime has an average mass of 2:30g. how much money are you owed? chemistry
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In the problem 14 = 2 = 7, which number is the divisor?
Sally's bank account had a balance of 230 at the beginning of the month. She had two deposits of 50 and 420 and just one withdrawal of 190. Her balance at the end of the month was $______ ?
in a certain city it was recorded at 16th and 2/7 inches of rain fell over 24 hour. How much rain fell per hour on average

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Answers

Answer:

66 2/3 %

Step-by-step explanation:

First find the students not in the 8th grade

24 - 8 = 16

16 students are not in the 8th grade

Take the fraction of the students not in the 8th grade over the total

16/24 = 2/3

Change to a decimal

.66666666666

Multiply by 100 to change to a percent

66.666666%

66 2/3 %

Answer:

66.67% of students are not in eighth grade

Step-by-step explanation:

8/24=1/3

1/3=0.33333333333

1-0.33333333333=0.66666666667

0.66666666667=66.67%

A random sample of n1 = 49 measurements from a population with population standard deviation σ1 = 3 had a sample mean of x1 = 12. An independent random sample of n2 = 64 measurements from a second population with population standard deviation σ2 = 4 had a sample mean of x2 = 14. Test the claim that the population means are different. Use level of significance 0.01.What distribution does the sample test statistic follow? Explain.

Answers

Answer:

We reject the null hypothesis that the population means are equal and accept the alternative hypothesis that the population means are different.

Step-by-step explanation:

We have large sample sizes $n_(1) = 49$ and $n_(2) = 64$ , the unbiased point estimate for $\mu_(1)-\mu_(2)$ is $\bar{x}_(1) - \bar{x}_(2)$ , i.e., 12-14 = -2.

The standard error is given by $\sqrt{(\sigma^(2)_(1))/(n_(1))+(\sigma^(2)_(2))/(n_(2))}$ , i.e.,

$\sqrt{((3)^(2))/(49)+((4)^(2))/(64)}$ = 0.6585.

We want to test $H_(0): \mu_(1)-\mu_(2) = 0$ vs $H_(1): \mu_(1)-\mu_(2) \neq 0$ (two-tailed alternative). The rejection region is given by RR = {z | z < -2.5758 or z > 2.5758} where -2.5758 and 2.5758 are the 0.5th and 99.5th quantiles of the standard normal distribution respectively. The test statistic is $Z = \frac{\bar{x}_(1) - \bar{x}_(2)-0}{\sqrt{(\sigma^(2)_(1))/(n_(1))+(\sigma^(2)_(2))/(n_(2))}}$ and the observed value is $z_(0) = (-2)/(0.6585) = -3.0372$ . Because -3.0372 fall inside RR, we reject the null hypothesis.

The test statistic follow a standard normal distribution because we are dealing with large sample sizes.

Final answer:

In this scenario of comparing two independent samples and given that the sample sizes are large, the sample test statistic follows the Standard Normal distribution or Z-distribution. The Z-test statistic representing the difference in sample means (in units of standard error) is compared with critical values for a two-tailed test at 0.01 significance level to determine if there's sufficient evidence to reject the null hypothesis that the two population means are equal.

Explanation:

The test in your question pertains to a hypothesis testing scenario featuring two independent samples. This scenario typically involves two population means given that population standard deviations are known. The distribution followed by the sample test statistic in such cases is the Standard Normal distribution or Z-distribution, as the sample sizes (n1 = 49, n2 = 64) are sufficiently large. To test the claim that population means are different (at a significance level of 0.01), you'd typically construct a Z-test statistic that represents the difference in sample means (x1 - x2) in units of its standard error. The Z-test statistic is calculated as follows:

$Z = \frac{x_1 - x_2}{\sqrt{(\sigma_1^2)/(n_1) + (\sigma_2^2)/(n_2)}}$

Here, x1 and x2 are the sample means, σ1 and σ2 are the population standard deviations and n1 and n2 are the samples sizes. The resulting Z-score can be compared with critical Z-scores for a two-tailed test at the given level of significance (0.01) to determine whether or not the null hypothesis (two population means are equal) can be rejected.

Learn more about Z-test here:

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The sun of a rational number and an irrational number and an irrational number

Answers

Answer: The sum of a rational number and an irrational number is irrational.

Step-by-step explanation:An irrational number in decimal form goes forever without repeating.

-189=4x-3(-4+15) WHAT IS THE ANSWER TO THIS PROBLEM?

Answers

Answer:

4/15

Step-by-step explanation:

Answer: x= -39

Step-by-step explanation: Let's solve your equation step-by-step.

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189

−

(

−

)

Step 1: Simplify both sides of the equation.

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189

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(

−

)

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189

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189

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Step 2: Flip the equation.

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189

Step 3: Add 33 to both sides.

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189

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156

Step 4: Divide both sides by 4.

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156

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. What would be the new coordinates if (-2,-4) is translated 5 units up and7 units to the left.

Answers

Answer:

(-9, 1)

Step-by-step explanation:

translating UP is to increase on the y axis, so -4+5=1

translating to the LEFT is to subtract on the x axis so-2-7=-9

-9, 1 I think is the correct answer

Can someone Help please

Answers

Answer:

942

Step-by-step explanation:

The formula for cone volume is V=πr²h/3. If you plug the radius and height in for the variables and use 3.14 for pi you get 942.

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