A composite number is one that can be made by multiply two numbers to each other. Since 49=7*7, 49 is a composite number.
Check:
You can check a multiplication chart, but you will see that 49 is the only one that can be multiplied by 2 numbers
Answer:
Step-by-step explanation:
Let us solve
<em>hope</em><em> </em><em>this</em><em> </em><em>helps</em><em> </em><em>you</em><em>.</em>
<em>Please</em><em> </em><em>let</em><em> </em><em>me</em><em> </em><em>know</em><em> </em><em>if</em><em> </em><em>you</em><em> </em><em>have</em><em> </em><em>another</em><em> </em><em>questions</em><em> </em><em>:-)</em>
Answer:
Option B - False
Step-by-step explanation:
Critical value is a point beyond which we normally reject the null hypothesis. Whereas, P-value is defined as the probability to the right of respective statistic which could either be Z, T or chi. Now, the benefit of using p-value is that it calculates a probability estimate which we will be able to test at any level of significance by comparing the probability directly with the significance level.
For example, let's assume that the Z-value for a particular experiment is 1.67, which will be greater than the critical value at 5% which will be 1.64. Thus, if we want to check for a different significance level of 1%, we will need to calculate a new critical value.
Whereas, if we calculate the p-value for say 1.67, it will give a value of about 0.047. This p-value can be used to reject the hypothesis at 5% significance level since 0.047 < 0.05. But with a significance level of 1%, the hypothesis can be accepted since 0.047 > 0.01.
Thus, it's clear critical values are different from P-values and they can't be used interchangeably.
9. I think Austin has more rainfall.
10. Both cities have unguessable rainfalls.
11. I predict the rainfall will continue going high, then low, then high, then low.
Vinegar is the carboxylic acid <span>acetic acid (CH</span>₃<span>COOH) </span>
