Answer:
∠EBF = 51°
∠DBE = 17°
∠ABF = 141°
∠EBA = 90°
∠DBC = 107°
∠DBF = 68°
Step-by-step explanation:
Hope this helps
Answer:
1.
a. m<EBF = 90 - 39 = 51
b. m<EBA = 90
c. m<DBE = 90 - 73 = 17
d. m<DBC = 90 + 17 = 107
e. m<ABF = 90 + 51 = 141
f. m<DBF = 17 + 51 = 68
2.
<ABD, <DBE, <EBF, <FBC, <DBF
3.
<ABF, <DBC
4.
<ABE, <EBC
45 were type A blood.Does this suggest that the
actual percentage of type A
donations is less than40%, the percentage of the
population having type A
blood? Carry out a testof the appropriate
hypotheses using a significance
level of0.01.
Answer:
Null hypothesis:
Alternative hypothesis:
If we compare the p value obtained and the significance level given we see that so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that the true proportion is not significantly lower than 0.4 or 40% at 1% of significance.
Step-by-step explanation:
1) Data given and notation
n=150 represent the random sample taken
X=45 represent the people with type A blood
estimated proportion of people with type A blood
is the value that we want to test
represent the significance level
Confidence=99% or 0.99
z would represent the statistic (variable of interest)
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 the true proportion of people type A blood is less than 0.4:
Null hypothesis:
Alternative hypothesis:
When we conduct a proportion test we need to use the z statisitc, and the is given by:
(1)
The One-Sample Proportion Test is used to assess whether a population proportion is significantly different from a hypothesized value .
3) Calculate the statistic
Since we have all the info requires we can replace in formula (1) like this:
4) Statistical decision
It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.
The significance level provided . The next step would be calculate the p value for this test.
Since is a bilateral test the p value would be:
If we compare the p value obtained and the significance level given we see that so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that the true proportion is not significantly lower than 0.4 or 40% at 1% of significance.
Answer:
The sales account for year 3 is .
Step-by-step explanation:
As the sales for year 2 is not provided, assume it is x million.
The total sales in year 3 is, 32 million.
Compute the sales account for year 3 as follows:
Answer:
20.875
Step-by-step explanation:
47.678-(15.463+11.34) =20.875
Answer:
Answer is (b) The worker with 40 hours of training is paid $1400 per month
Answer:
x = 2
Step-by-step explanation:
and 4/2 = 2
Answer:
2x
Step-by-step explanation:
Because both terms are divisible by 2x. So, that's the greatest common factor. Whichever term is the greatest and can divide both the numbers it the GFC.