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Helga [31]
3 years ago
10

What is the solution to n/4 = -12.4?

Mathematics
1 answer:
Natali [406]3 years ago
4 0
N= -49.6. multiply -12/4 times 4
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Can someone pls help
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Answer:

Step-by-step explanation:

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Your client has saved $2500 for a down payment on a house. A government loan program requires a down payment equal to 2.5% of th
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Answer:

The largest amount that could be received is $100,000

Step-by-step explanation:

Here in this question , we are interested in calculating the largest amount loan amount that could be received.

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2.5% of x = 2500

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Keith takes 12 hours to clean the store, and mike takes 10 hours to finish the job. how hong will they take together?
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A recent study focused on the amount of money single men and women save monthly. The information is summarized here. Assume that
beks73 [17]

Answer:

t=\frac{(23 -28)-(0)}{8.126\sqrt{\frac{1}{25}+\frac{1}{30}}}=-2.272

p_v =2*P(t_{53}

If we compare the p value obtained and using the significance level assumed \alpha=0.01 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis that the means are equal between the two groups at this significance level.    

Step-by-step explanation:

When we have two independent samples from two normal distributions with equal variances we are assuming that  

\sigma^2_1 =\sigma^2_2 =\sigma^2

And the statistic is given by this formula:

t=\frac{(\bar X_1 -\bar X_2)-(\mu_{1}-\mu_2)}{S_p\sqrt{\frac{1}{n_1}+\frac{1}{n_2}}}

Where t follows a t distribution with n_1+n_2 -2 degrees of freedom and the pooled variance S^2_p is given by this formula:

\S^2_p =\frac{(n_1-1)S^2_1 +(n_2 -1)S^2_2}{n_1 +n_2 -2}

This last one is an unbiased estimator of the common variance \sigma^2

The system of hypothesis on this case are:

Null hypothesis: \mu_1 = \mu_2

Alternative hypothesis: \mu_1 \neq \mu_2

Or equivalently:

Null hypothesis: \mu_1 - \mu_2 = 0

Alternative hypothesis: \mu_1 -\mu_2 \neq 0

Our notation on this case :

n_1 =25 represent the sample size for men

n_2 =30 represent the sample size for women

\bar X_1 =23 represent the sample mean for men

\bar X_2 =28 represent the sample mean for the women

\sigma_1=5 represent the population standard deviation for men

\sigma_2=10 represent the population standard deviation for women

First we can begin finding the pooled variance:

\S^2_p =\frac{(25-1)(5)^2 +(30 -1)(10)^2}{25 +30 -2}=66.038

And the deviation would be just the square root of the variance:

S_p=8.126

And now we can calculate the statistic:

t=\frac{(23 -28)-(0)}{8.126\sqrt{\frac{1}{25}+\frac{1}{30}}}=-2.272

Now we can calculate the degrees of freedom given by:

df=25+30-2=53

And now we can calculate the p value using the altenative hypothesis:

p_v =2*P(t_{53}

If we compare the p value obtained and using the significance level assumed \alpha=0.01 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis that the means are equal between the two groups at this significance level.    

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4 years ago
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