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Statistics
Statistics deals with collecting, organizing, and interpreting numerical data. An important aspect of statistics is the analysis of population characteristics inferred from sampling.
36,756 Questions
Will the distribution of the sample means follow the uniform distribution?
The distribution of the sample means will, as the sample size increases, follow the normal distribution. This is true for any given distribution (e.g. does not need to be a normal distribution). This concept is from the central limit theorem. It is one of the most important concepts in statistics, along with the law of large numbers. An applet to help you understand this concept is located at: http:/www.stat.sc.edu/~west/javahtml/CLT.html
.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.
Your 94 Ford Explorer XLT V6 is running at 3000 revs when speed is at 65 mph is this normal or high?
DO NOT mess with your idle air control, whoever posted that last answer did not read your whole qestion, i have a 94 ford explorer 4x4, at 65 i run 2500 rpms, your torgue converter isn't going into lockup mode, most likey cause is a selnoid inside the transmission shorted out, or your computer,note that this will over heat your transmissoin when your driving freeway speeds, if your driving these speeds on a daily basis this will reduce the life of your transmissoin.
It's time to see your doctor! Any lump should be investigated by your doctor. It may be something simple. Also, if you have been in a wooded area of any sort and there are tics in the area please let your doctor know this. You could have even gotten a bug bite of another sort.
What are the names of the measurements that fall beyond three standard deviations from the mean?
Outliers.
It is the tissue compartment in which the active drug is implementing its effect
To find the mean of numbers, add all of the numbers together and then divide them by the number of numbers there are.
For example if I want to find the mean of 1, 2, and 3. 1+2+3= 6 and there are 3 numbers that I am using to find the mean (1, 2, and 3). So I divide 6 by 3 and get 2 which is the mean.
Why is it helpful to give the range when you descirbe the data?
it is the difference between the smallest and the biggest value
What are the mean median mode and range for 5966118and 4?
Mean= 5,9,6,6,1,1,8,4 = (1,1,4,5,6,6,8,9)/8 = 5 Median= (5+6)/2 =5.5 Mode= 1 ans 6. Range= (9-1) = 8
The 68-95-99.7 rule is applicable for a Normal distribution.
The Normal Distribution is determined by two parameters: the mean (m) and the standard deviation (s). They are normally denoted by Greek letters but there is no telling what this rubbish browser will do to them.
Anyway, these are used to calculate z-scores for observations. The z score for an observation x is (x - m)/s.
The rule is that
68% of the observation lie within -1 < Z < 1 : that is within 1 standard deviation of the mean;
95% of the observation lie within -2 < Z < 2 : that is within 1 standard deviation of the mean;
68% of the observation lie within -3 < Z < 3 : that is within 1 standard deviation of the mean.
Also, the Normal distribution is symmetrical so 50% of the observations are for z < 0.
Now, 1 - 68% is outside of -1 < Z < 1. That is, the two regions Z < -1 and Z > 1 = 32% and so, by symmetry, each is half as much which is 16%. Thus the first of the above rule also implies the following probabilities:
- 16% for Z < -1 and so 84% for Z > -1
- 16% for Z > 1 and so 84% for Z < 1
Now, given that m = 70 and s = 15
(a) X < 55 => Z < (55 - 70)/15 = -1
So prob (X < 55) = 0.16
(b) X < 40 => Z < (40 - 70)/15 = -2
and so, prob(X < 40) = 2.5%
(c) X < 85 => Z < 1
S0 prob (X < 85) = 84%
(d) Prob(X < 100) = 97.5%
(e) Prob(X > 85) = 16%
How would you show the value of 2000 on a stem and leaf plot?
The answer depends on the range of numbers. These determine the nodes - or the stem values.
What it the sample space for the number of heads than can appear if a coin is rolled three times?
Each roll of the coin can either have a head or not have a head. So in three rolls there could be:
- no heads (all tails);
- 1 head (either first, second or third roll was the head, the other two being tails);
- 2 heads (either first, second or third roll was the tail, the other two being heads); or
- 3 heads (all heads)
giving a sample space for the number of heads in three rolls of a coin:
{0, 1, 2, 3}
What is the least even number having six digits?
The smallest six-digit number is 100000 (one hundred thousand), which is also an even number.
54
What is the probability of three?
The answer will depend on what the experiment is: rolling a die, spinning a spinner, the number of times someone will lose before they win (or the converse), the number of rooms in a house, or whatever. Since you have not bothered to share that crucial bit of information, I cannot provide a more useful answer.
