Yes. 2/3 is greater than 2/5. You can check this by cross multiplication or easier just look at the denominator and numerator. In this case the numerator is the same so it's easier in a sense that you need to look at the denominator. Since the denominator 3 is close to the numerator 2 it shows that it's almost a whole unlike the other fraction. You can also convert each fraction to decimals and compare it which is also easy. Just divide the numerator by the denominator and you've got a decimal. Hope this helps!
First of all,find the volume of prism by using the formulae V=1/3Ah.Then,find the volume of cuboid by using length × breadth × height.After that,you can find the answer. The answer is a.
The arrangement of the numbers in descending order (largest to smallest) are as follows;
- a). 5.5, 4, 29/33, -3/4, -2.365
- b). 10, 5.855, 5/8, 1/2 -2π, -8
<h3>What is the arrangement of the numbers in descending order in each case?</h3>
It follows from convention that the positive numbers are larger than negative numbers and hence, should appear before negative numbers when the arrangement is in descending order.
Consequently, the numbers can be evaluated and arranged as in the answer above with positive numbers increasing rightwards and negative numbers decreasing leftward of 0 on the number line.
Read more on number line;
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(-1,9) because Y is always the second number and -3*-1=3 so 9=3+6 basically :)
Answer:
Null hypothesis:
Alternative hypothesis:
Since the p value is very low compared to the significance level we have enough evidence to reject the null hypothesis and we can conclude that the true percent of people with type A of blood is significantly different from 0.4 or 40%
Step-by-step explanation:
Information given
n=144 represent the random sample taken
X=81 represent the number of people with type A blood
estimated proportion of people with type A blood
is the value that we want to verify
represent the significance level
z would represent the statistic
![p_v{/tex} represent the p value Hypothesis to testWe want to test if the percentage of the population having type A blood is different from 40%.: Null hypothesis:[tex]p=0.4](https://tex.z-dn.net/?f=p_v%7B%2Ftex%7D%20represent%20the%20p%20value%20%3C%2Fp%3E%3Cp%3E%3Cstrong%3EHypothesis%20to%20test%3C%2Fstrong%3E%3C%2Fp%3E%3Cp%3EWe%20want%20to%20test%20if%20the%20percentage%20of%20the%20population%20having%20type%20A%20blood%20is%20different%20from%2040%25.%3A%20%20%3C%2Fp%3E%3Cp%3ENull%20hypothesis%3A%5Btex%5Dp%3D0.4)
Alternative hypothesis:
the statistic is given by:
(1)
Replacing the info given we got:
Now we can calculate the p value with this probability taking in count the alternative hypothesis:
Since the p value is very low compared to the significance level we have enough evidence to reject the null hypothesis and we can conclude that the true percent of people with type A of blood is significantly different from 0.4 or 40%
