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enyata [817]
3 years ago
12

Suppose that the exchange rate from U.S. dollars to Canadian dollar is 1 U.S. dollar per 1.0028 Canadian dollars. Joey exchanges

$375 Canadian dollars for US dollars at this rate. How many US dollars will Joey receive?
Mathematics
1 answer:
Svetradugi [14.3K]3 years ago
4 0

Answer:

373,952 dollars

Step-by-step explanation:

375/1,0028

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Define acute, right angle, obtuse, straight angle, reflex​
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Answer: here

Step-by-step explanation:

Acute Angle - An angle less than 90 degrees. Right Angle - An angle that is exactly 90 degrees. Obtuse Angle - An angle more than 90 degrees and less than 180 degrees. Straight Angle - An angle that is exactly 180 degrees. Reflex Angle - An angle greater than 180 degrees and less than 360 degrees.

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Because The Flowers Bennie drew are independent

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A hospital employs a total of 77 nurses and doctors. The ration if nurses to doctors is 9:2. How many nurses are employed at the
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Answer: 63 nurses and 14 doctors

so you know the ratio is 9:2. that means for every 9 nurses there are 2 doctors. i didn't make an equation but i counted it.

if theres 9 (9*1) nurses theres 2 (2*1) doctors

if theres 18 (9*2) nurses theres 4 (2*2) doctors

if theres 27 (9*3) nurses theres 6 (2*3) doctors

you get the point so i multiplied 7 to 9 and 7 to 2, which means:

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Use the distributive property to write the expression shown to you as a product of two factors
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To increase the value of estimated Cohen's d, a researcher increases the sample size. Will this change the value of d?
tatyana61 [14]

Answer:

a. A) Yes; as sample size increases, effect size increases.

b. A) The critical value increases.

Step-by-step explanation:

a.

If all possible samples of size N are drawn from a finite population, Np, without replacement, and the standard deviation of the mean values of the sampling distribution of means is determined then:

σx =d  √N

d = σx . √N

d ∞ N

from this, we can say d is directly proportional to √N

where σx is the standard deviation of the sampling distribution of  means and d is the standard deviation of the population’. The standard deviation of a sampling distribution of mean values is called the standard error of the means,

therefore, we can conclude that:

A) Yes; as sample size increases, effect size increases.

b.

In this estimate, tc is called the confidence coefficient for small samples,  d is the standard deviation of the sample, x is the mean value of the sample and N is the number of members in the sample.

When determining the t-value, given by

t =( (x−µ) /s) * \sqrt{N-1}

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A) The critical value increases.

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