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2 years ago

5. Why did it take 2 years for the U.S. to enter WW2 and why did we finally enter the war?

Mathematics

1 answer:

AlladinOne [14]2 years ago

6 0

The U.S wanted to be isolationists

it did not enter the war untill the japanese bombed Pearl Harbor

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If f(x) = 3x5 + 4x3 + 3, then what is the remainder when f(x) is divided by x - 3?

VikaD [51]

Answer:

840

Step-by-step explanation:

8 0

2 years ago

In a survey of 603 adults, 98 said that they regularly lie to people conducting surveys. Create a 99% confidence interval for th

marysya [2.9K]

Answer:

The population proportion is estimated to be with 99% confidence within the interval (0.1238, 0.2012).

Step-by-step explanation:

The formula for estimating the population proportion by a confidence interval is given by:

$\hat{p}\pm z_{\alpha /2}\times\sqrt{\frac{\hat{p}\times(1-\hat{p})}{n}}$

Where:

$\hat{p}$ is the sample's proportion of success, which in this case is the people that regularly lie during surveys,

$z_{\alpha /2}$ is the critical value needed to find the tails of distribution related to the confidence level,

$n$ is the sample's size.

First we compute the $\hat{p}$ value:

$\hat{p}=\frac{successes}{n}=\frac{98}{603}=0.1625$

Next we find the z-score at any z-distribution table or app (in this case i've used StatKey):

$z_{\alpha /2}=2.576$

Now we can replace in the formula with the obtained values to compute the confidence interval:

$\hat{p}\pm z_{\alpha /2}\times\sqrt{\frac{\hat{p}\times(1-\hat{p})}{n}}=0.1625\pm 2.576\times\sqrt{\frac{0.1625\times(1-0.1625)}{603}}=(0.1238, 0.2012)$

5 0

3 years ago

636 rounded to the nearest ten and hundred

PSYCHO15rus [73]

600 hope this helps

....

6 0

3 years ago

Read 2 more answers

A) f(x) B) g(x) C) h(x)

jeka57 [31]

Answer:

decreasing increasing decreasing function

3 0

2 years ago

An SRS of size 20 is drawn from a population that has a normal distribution. The sample has a mean of 122.5 and a standard devia

Tems11 [23]

Answer:

The value is $\sigma_{\= x} = 1.789$

Step-by-step explanation:

From the question we are told that

The sample size is n = 20

The sample mean is $\= x = 122.5$

The standard deviation is $s = 8$

Generally the standard error of the mean is mathematically represented as

$\sigma_{\= x} = \frac{s}{\sqrt{n} }$

=> $\sigma_{\= x} = \frac{8}{\sqrt{20 } }$

=> $\sigma_{\= x} = 1.789$

8 0

3 years ago