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ahrayia [7]
3 years ago
13

In a recent year, 26.9% of all registered doctors were female. If there were 52,400 female registered doctors that year, what wa

s the total number of registered doctors?
Round your answer to the nearest whole number.
Mathematics
2 answers:
vekshin13 years ago
7 0

Step-by-step explanation:

equation is 0.269 X = 52400

52400/0.269

the answer is 194,726 registers doctors

EleoNora [17]3 years ago
3 0

Answer:

the question says 26.9% of all registered doctors were female,

so thats 26.9 X are female 26.9 of x is 52,400 so you take the 26.9\100* x=14,095,6

equation is 0.269 X = 52400

52400/0.269= a total of 194,797

Step-by-step explanation:

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Answer:

x = 5, -3

Step-by-step explanation:

x² - 15 = 2x

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Polymer composite materials have gained popularity because they have high strength to weight ratios and are relatively easy and
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Answer:

t=\frac{51.6-48}{\frac{1.1}{\sqrt{10}}}=10.349      

p_v =P(t_9>10.349)=1.34x10^{-6}  

If we compare the p value and the significance level given for example \alpha=0.05 we see that p_v so we can conclude that we reject the null hypothesis, and the the actual mean is significantly higher than 48 MPa at 5% of significance.

Step-by-step explanation:

1) Data given and notation      

\bar X=51.6 represent the sample mean

s=1.1 represent the standard deviation for the sample      

n=10 sample size      

\mu_o =48 represent the value that we want to test    

\alpha=0.05 represent the significance level for the hypothesis test.    

t would represent the statistic (variable of interest)      

p_v represent the p value for the test (variable of interest)  

State the null and alternative hypotheses.      

We need to conduct a hypothesis in order to determine if the mean score is higher than 48, the system of hypothesis would be:      

Null hypothesis:\mu \geq 48      

Alternative hypothesis:\mu > 48      

We don't know the population deviation, so for this case is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:      

t=\frac{\bar X-\mu_o}{\frac{\sigma}{\sqrt{n}}} (1)      

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

Calculate the statistic      

We can replace in formula (1) the info given like this:      

t=\frac{51.6-48}{\frac{1.1}{\sqrt{10}}}=10.349      

Calculate the P-value      

First we find the degrees of freedom:

df=n-1=10-1=9

Since is a one-side upper test the p value would be:      

p_v =P(t_9>10.349)=1.34x10^{-6}  

Conclusion      

If we compare the p value and the significance level given for example \alpha=0.05 we see that p_v so we can conclude that we reject the null hypothesis, and the the actual mean is significantly higher than 48 MPa at 5% of significance.        

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