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Goryan [66]
4 years ago
13

Clara has a garden that is 7 feet wide and 4 feet long. She has 30 tomato plants to put in the garden. Each plants needs 1 squar

e foot of space. How many leftover plants will Clara have?
Mathematics
1 answer:
WINSTONCH [101]4 years ago
3 0

she will have 2 plants left over

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Can someone please help me I will be forever grateful
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66 feet

Step-by-step explanation:

30+30=30 feet

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Calvin encoded a secret phrase using matrix multiplication. Using A = 1, B = 2, C = 3, and so on, he multiplied the clear text c
Vlad1618 [11]
Our matrix C is the encoder.  Let X be our secret message and let B be our encoded message.  Therefore the relationship between the 3 can be represented as:

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)A spinner is divided into sections of equal size, of which some are red, some are blue, and the remaining are green. The probab
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40%

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7 0
3 years ago
A well-known brokerage firm executive claimed that at least 41 % of investors are currently confident of meeting their investmen
atroni [7]

Answer:

z=\frac{0.398 -0.41}{\sqrt{\frac{0.41(1-0.41)}{88}}}=-0.229

Step-by-step explanation:

1) Data given and notation n  

n=88 represent the random sample taken

X=35 represent the adults that said they are confident of meeting their goals

\hat p=\frac{35}{88}=0.398 estimated proportion of adults that said they are confident of meeting their goals

p_o=0.41 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)  

2) Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that that at least 41 % of investors are currently confident of meeting their investment goals.:

Null hypothesis:p=0.41  

Alternative hypothesis:p < 0.41  

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.

3) Calculate the statistic  

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

z=\frac{0.398 -0.41}{\sqrt{\frac{0.41(1-0.41)}{88}}}=-0.229

4) Statistical decision  

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The significance level is not provided, but we can assume \alpha=0.05. The next step would be calculate the p value for this test.  

Since is a unilateral test the p value would be:  

p_v =P(z  

Using the p value obtained and the significance level assumed \alpha=0.05 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the proportion of of investors that are currently confident of meeting their investment goals is not significantly lower than 0.41 or 41%.  

4 0
3 years ago
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