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A person invests $6,650 in an account that earns 5.23% annual interest compounded continuously. Find

Lady_Fox [76]

44 years which would be 15302.98

8 0

3 years ago

How must unit cubes be stacked when used to measure volume?

Nezavi [6.7K]

The answer is ( <span>How many cubes there are and then how many inches are in that square and then how many inches are in the volume) hope that help</span>

3 0

3 years ago

A dilation has a center (0,0). Find the image of point B (7/5,-5,4) for the scale factor 1/6

AveGali [126]

Answer:

Multiply the coordinate by the scale factor, 1/5 to get (7/25,-5/20). You can simplify this to (7/25, -1/4)

5 0

3 years ago

Please help, thank you (brainly if ur right)

SashulF [63]

Answer:

SAS ~

Step-by-step explanation:

6 0

3 years ago

A sample of 1500 computer chips revealed that 37% of the chips fail in the first 1000 hours of their use. The company's promotio

andreyandreev [35.5K]

Answer:

$z=\frac{0.37 -0.39}{\sqrt{\frac{0.39(1-0.39)}{1500}}}=-1.59$

Step-by-step explanation:

Data given and notation

n=1500 represent the random sample taken

$\hat p=0.37$ estimated proportion of of chips fail in the first 100 hours

$p_o=0.39$ is the value that we want to test

$\alpha$ represent the significance level

z would represent the statistic (variable of interest)

$p_v$ represent the p value (variable of interest)

Concepts and formulas to use

We need to conduct a hypothesis in order to test the claim that the actual percentage that fail is different from the stated percentage. Find the value of the test statistic.:

Null hypothesis: $p=0.39$

Alternative hypothesis: $p \neq 0.39$

When we conduct a proportion test we need to use the z statisitc, and the is given by:

$z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}}$ (1)

The One-Sample Proportion Test is used to assess whether a population proportion $\hat p$ is significantly different from a hypothesized value $p_o$ .

Calculate the statistic

Since we have all the info requires we can replace in formula (1) like this:

$z=\frac{0.37 -0.39}{\sqrt{\frac{0.39(1-0.39)}{1500}}}=-1.59$

3 0

3 years ago