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zimovet [89]
3 years ago
8

Which is an example of a current asset? *

Mathematics
1 answer:
butalik [34]3 years ago
5 0

Answer:

accrued expense is the answer okkkkkkkkkkkkkkkk

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4.48 Same observation, difference sample size: Suppose you conduct a hypothesis test based on a sample where the sample size is
Lemur [1.5K]

Answer:

P-value is lesser in the case when n = 500.

Step-by-step explanation:

The formula for z-test statistic can be written as

z=\frac{x-\mu}{\frac{\sigma}{\sqrt{n} } } =\frac{(x-\mu)\sqrt{n}}{\sigma}

here, μ = mean

σ= standard deviation, n= sample size, x= variable.

From the relation we can clearly observe that n is directly proportional to test statistic. Thus, as the value of n increases the corresponding test statistic value also increases.

We can also observe that as the test statistic's numerical value increases it is more likely to go into rejection region or in other words its P-value decreases.

Now, for  first case when our n is 50 we will have a relatively low chance of accurately representing the population compared to the case when n= 500. Therefore,  the P-value will be lesser in the case when n = 500.

6 0
3 years ago
5x + 1 = 56<br><br> Solving 2 step equations?
frutty [35]

Answer:

the x would equal to 11 ,so x=11

4 0
3 years ago
In the morning a tank cntained 10 litres of water.At lunch time it contained 7 litres of water.What percentage of water was used
iren [92.7K]

Answer:

30%

Step-by-step explanation:

10-7=3

3/10×100

=30%

7 0
3 years ago
What is the slope of (1,5) and (4,-2)
andriy [413]

Answer:-2-5÷4-1=-1

Step-by-step explanation:

6 0
4 years ago
An executive in the home construction industry is interested in how house size (House) is influenced by family income (Income),
Harman [31]

Answer:

Check the explanation

Step-by-step explanation:

(a)

P-value of income and size is 0.0003 and 0.0001 respectively. Both are less than 0.05 level of significance. So these are significant ot the model. Option D is correct.

(b)

The model is

House_size = -1.6335+0.4485*income + 4.2615*family_size -0.6517*school

Here we have income = 85600/1000 = 85.6

family_size = 6

school = 13

So the predicted house size is

House_size = -1.6335+0.4485*85.6 + 4.2615*6 -0.6517*13=53.855

the predicted house size (in hundreds of square feet) is 53.86. hence, option B is correct.

3)

Here we have income = 100000/1000 = 100

family_size = 10

school = 16

So the predicted house size is

House_size = -1.6335+0.4485*100 + 4.2615*10 -0.6517*16=75.40

Residual : observed value- predicted value = 70 - 75.40 = -5.40

Option C is correct.

7 0
4 years ago
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