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Arturiano [62]
3 years ago
5

Can someone help with this two questions?( by the way I have to show work of each one )

Mathematics
2 answers:
Ulleksa [173]3 years ago
8 0

Answer:

i can not see the picture..

Step-by-step explanation:

Olin [163]3 years ago
3 0

Answer: the answer is 144in for the first one and your welcome hotty dam your hot let me know if it helps man your so dam hot.

Step-by-step explanation:

You might be interested in
Ten years ago 53% of American families owned stocks or stock funds. Sample data collected by the Investment Company Institute in
Alborosie

Answer:

a) Null hypothesis:p\geq 0.53  

Alternative hypothesis:p < 0.53  

b) z=\frac{0.46 -0.53}{\sqrt{\frac{0.53(1-0.53)}{300}}}=-2.429  

p_v =P(Z

c) So the p value obtained was a very low value and using the significance level given \alpha=0.01 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 1% of significance the proportion of American families owning stocks or stock funds is significantly less than 0.53 .  

Step-by-step explanation:

Data given and notation

n=300 represent the random sample taken

\hat p=0.46 estimated proportion of American families owning stocks or stock funds

p_o=0.53 is the value that we want to test

\alpha=0.01 represent the significance level

Confidence=99% or 0.99

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Concepts and formulas to use  

Part a

We need to conduct a hypothesis in order to test the claim that proportion is less than 0.53 or 53%.:  

Null hypothesis:p\geq 0.53  

Alternative hypothesis:p < 0.53  

Part b

When we conduct a proportion test we need to use the z statistic, 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{0.46 -0.53}{\sqrt{\frac{0.53(1-0.53)}{300}}}=-2.429  

Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The significance level provided \alpha=0.01. The next step would be calculate the p value for this test.  

Since is a left tailed test the p value would be:  

p_v =P(Z

Part c  

So the p value obtained was a very low value and using the significance level given \alpha=0.01 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 1% of significance the proportion of American families owning stocks or stock funds is significantly less than 0.53 .  

7 0
3 years ago
Please help!!! EASY BRAINLIEST
faltersainse [42]

<em>Your answer would be 5, just the number in general.</em>

<em>>[I'ma be honest here and say I had a fraction earlier :P</em>

4 0
3 years ago
13.24503311258278 Round to the nearest tenth as needed
Ksenya-84 [330]

The number provided rounded to the nearest tenth is 13.2.

Because the number in the hundreds place is a 4, we round down and keep the tenth at 2.

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3 years ago
How Much Weight Does An Average 17 Year Old Bench
maxonik [38]
It should be 185 pounds. Have a GREAT day!!!!! :)
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Round .796 to the nearest hundredth.
hammer [34]

Answer:

The answer is .800

3 0
3 years ago
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