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2 years ago

6

Felicia invested money at an interest rate of 4%. After six months, she had earned $90.00 interest. How much money did Felicia i

nvest?
I = prt
90 = p(0.04)(0.5)
90 = p(0.02)
p = _________ dollars

2 answers:

WARRIOR [948]2 years ago

8 0

The formula is
I=prt
I interest earned 90
P amount invested?
R interest rate 0.04
T time 6/12
Solve the formula for p
P=I÷rt
P=90÷(0.04×(6÷12))
P=4,500 ....answer

Paul [167]2 years ago

4 0

Answer:

The formula is

I=prt

I interest earned 90

P amount invested?

R interest rate 0.04

T time 6/12

Solve the formula for p

P=I÷rt

P=90÷(0.04×(6÷12))

P=4,500 ....answer

Step-by-step explanation:

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Before a new video game is released, it is tested by a number of volunteer gamers. During testing, the experimental probability

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Answer:

2000 players will complete the game with a perfect score.

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The testing phase tells us that $\frac{1}{500}$ is the probability that a person will finish with a perfect score.

This means 1 out of 500 people will be able to finish with perfect score.

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the game is given to 1,000,000 (1 million) people and how much do we expect to finish with perfect score?? Simple! It would be $\frac{1}{500}$ the of 1 million!

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A member of a student team playing an interactive marketing game received the fol- lowing computer output when studying the rela

nirvana33 [79]

Answer:

$p_v = 2*P(t_{n-2} > |t_{calc}|)= 0.91$

So on this case for the significance level assumed $\alpha=0.05$ we see that $p_v >\alpha$ so then we can conclude that the result is NOT significant. And we don't have enough evidence to reject the null hypothesis.

So on this case is not appropiate say that :"the more we spend on advertising this product, the fewer units we sell" since the slope for this case is not significant.

Step-by-step explanation:

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Where Y is the dependent variable and X the independent variable. $\beta_0$ represent the intercept and $\beta_1$ the slope.

In order to estimate the coefficients $\beta_0 ,\beta_1$ we can use least squares procedure.

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Or in other words we want to check is our slope is significant (X have an effect in the Y variable )

In order to conduct this test we are assuming the following conditions:

a) We have linear relationship between Y and X

b) We have the same probability distribution for the variable Y with the same deviation for each value of the independent variable

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$SE_{\beta_1}=\frac{\sqrt{\frac{\sum (y_i -\hat y_i)^2}{n-2}}}{\sqrt{\sum (X_i -\bar X)^2}}$

Th degrees of freedom for a linear regression is given by $df=n-2$ since we need to estimate the value for the slope and the intercept.

In order to test the hypothesis the statistic is given by:

$t=\frac{\hat \beta_1}{SE_{\beta_1}}$

The p value on this case would be given by:

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2 years ago

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Answer:

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Step-by-step explanation:

By definition of a mid point, it is located in the middle of two connected points. This means that the split is equal on both sides.

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~

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1 year ago

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Answer:

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Step-by-step explanation:

The picture of the question in the attached figure

step 1

we know that

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