Answer:
180
Step-by-step explanation:
30 in 10 secs x6
180 in 60 secs.
We can use the formula y2-y1/x2-x1 to get our slope. y2 and x2 are our second y and x coordinates, meanwhile y1 and x1 are our first y and x coordinates. -6-6/-1 -2 is -12/-3. -12/-3 is 4, the slope is 4.
Answer:
Correct option:
"The distribution of the statistic in all possible samples of size <em>n</em> from a given population."
Step-by-step explanation:
The sampling distribution is a probability distribution of a sample statistic.
A sample statistic is a numerical value representing a characteristic of a sample. For example, the sample mean represents the mean value of the sample, the sample variance represent the variance of the sample. Both of these values are sample statistic.
A statistic is an unbiased estimator of the parameter value.
That is, the sample mean value can be used to estimate the value of population mean.
If various large samples are taken from a population and the sample statistic value is computed for each of these samples, then the probability distribution of theses sample statistic is known as the sampling distribution.
The mean of the sampling distribution is same as the population mean and the standard deviation of the sampling distribution is known as the standard error.
The correct option is:
"The distribution of the statistic in all possible samples of size <em>n</em> from a given population."
Answer:
Z-scores between -0.86 and 0.86 separate the middle 61% of the distribution from the area in the tails of the standard normal distribution
Step-by-step explanation:
Normal Probability Distribution:
Problems of normal distributions can be solved using the z-score formula.
In a set with mean 
and standard deviation 
, the z-score of a measure X is given by:
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.
Middle 61%
Between the 50 - (61/2) = 19.5th percentile and the 50 + (61/2) = 80.5th percentile.
19.5th percentile.
Z with a pvalue of 0.195. So Z = -0.86
80.5th percentile.
Z with a pvalue of 0.805. So Z = 0.86.
Z-scores between -0.86 and 0.86 separate the middle 61% of the distribution from the area in the tails of the standard normal distribution
Did you say he can choose " 1 snack " ?
Well then. There are 9 different items in the box, so he has
9 different choices of snack.
I guess that means he can choose his snack in 9 ways.
