What if there is not a frequently listed number to find the mode?
Then there is no mode. There can only be a mode when there are more than on same number.
No Mode: 45, 6, 21, 4, 765
Mode: 1, 4, 3, 4, 2,
1
Does a 3d cylinder shape have edges and corners and also faces?
draw the different faces of these 3 D objects.Label the shape of each face
A c is from 70 to 79. An a is 90 up. A b is 89 to 80. A d is from 69 to 60. A f is 59 down. Hope this helps!!
What is probability of drawing a red card or a king from deck of cards?
26/52(number of red cards)+2/52(number of king left)=28/52
9876-987=8889
How many times that will love you?
Seventy times seven....as the Bible said in Matthew 18:22, we don't really have to take the instruction literally...but as long as someone is asking for forgiveness...we are instructed to forgive the person...and forgiving is forgetting. Matthew 6:14 says, For if you forgive men when they sin against you, your heavenly Father will also forgive you.
Mean is the sum of all the numbers added and divied by the amount of nunbers. for ex. if 1,7,9,9,4 were your numbers then you would add them all together witch is 30 . then you would divied it by 5 because that is the amount of numbers you started with. so the anser would be 6 and that is the average between 1 and 9
mode is like a trend in this nunber 1,7,9,9 and 4 is your starting number. and there are two 9s so the mode would be nine and if the number is 1,7,9,9,9,4 then the the mode would stay because even thouth there are three nines it still stays the same.and if the number was 1,7,7,9,9,4 then the mode would be 7 and 9 because there are two sevens and two nines.
.01 criterion of significance what is the percent type you error?
I believe you are asking about hypothesis testing, where we choose an alpha value, (also called a signifance level). Thus, I will rephrase your question as follows: If I choose an alpha value of 0.01, what percent of time do you expect the come to an erroneous conclusion, that is test statistic to fall out of the critical region yet the null hypothesis is true? The answer is 1% of the time, an incorrect rejection of the null hypotheis, which is a type I error.