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Mean 70 Standard Deviation 5

3 133 Answer the following questions based on the data. The mean score on a creativity test is 70 and the standard deviation is 5.


68 95 99 Rule Normal Distribution Explained In Plain English

Sum of each.

Mean 70 standard deviation 5. If a data set has a mean of 70 and a standard deviation of 5 is 80 considered an outlier. 68 95 and 997 of the values lie within one two and three standard deviations of the mean respectively. A set of data items is normally distributed with a mean of 70.

What was Staceys actual exam score rounded to the nearest whole number. First of all lets have a look at the formula of standard deviation. The difference X - Y between the two areas is normally distributed with mean 70-65 5 and variance 5² 8² 25 64 89.

From past history the scores on a statistics test are normally distributed with a mean of 70 and a standard deviation of 5. This means that 2 standard deviations above the mean is 7055 80. The total points possible was 100.

The mean is 70 and the standard deviation is 5. Where σ Standard Deviation. For a normal distribution 9545 of the data lies below 2 SDs above the mean.

What percentage of scores are between scores 60 and 85. Staceys results were reported to be at the 95th percentile. The total points possible was 100.

In many cases it is not possible to sample every member within a population requiring that the above equation be modified so that the standard deviation can be measured through a random sample of the population being studied. The standard deviation is the square root of the variance 943. In the first area the test score X is normally distributed with mean 70 and standard deviation 5.

Using the percentage approximations for normal curves how many people would get a score between 60 and 80. Bob took a math test whose mean was 70 and standard deviation was 5. A If a data set has mean 70 and standard deviation 5 is 80 a suspect outlier.

What percentage of scores is less than a score. With a mean of 70 and a standard deviation of 5 a score of 80 is two standard deviations above the mean. What percentage of scores are between scores 60 and 70.

Convert the data item to a z-score if the standard deviation is as given. 2 2 -4 O 14 34 34 14 96 O. In the second area the yearly average test score Y is normally distributed with mean 65 and standard deviation 8.

Since 70 is 10 points below the mean 80-70 10 and since a standard deviation is 5 points there is a distance of 2 standard deviations between the 80 and 70 1052. σ 1296 256 036 576 11565 2577 Sample Standard Deviation. To earn a B on the test a student must be in the top 15 of the class.

Where X is a normal random variable μ is the mean of X and σ is the standard deviation of X. In statistics the 6895997 rule also known as the empirical rule is a shorthand used to remember the percentage of values that lie within an interval estimate in a normal distribution. Why 70 is 2 Standard Deviations Below the Mean.

In this example we will calculate the population standard deviation. The mean is 80 and the standard deviation is 5. In mathematical notation these facts can be expressed as follows where Χ is an observation from a normally distributed random variable μ is the mean.

A b c d e f What percentage of scores are between scores 65 and 75. Mean of 70 and a standard deviation of 5 Label the mean and three standard deviations from the mean. This preview shows page 2 - 6 out of 11 pages.

B If a data set has mean 70 and standard deviation 3 is 80 a suspect outlier. Stacy took a math test whose mean was 70 and standard deviation was 5. Bob took a math test whose mean was 70 and standard.

Use a calculator to find the mean and standard deviation of the data. That means that only 455 of the data lies above 2 SDs above the mean. This means that 80 is not an outlier as it is not more than 25 standard deviations above the mean.

The distribution is considered to be normal. We can say that The standard deviation is equal to the square root of variance. X i Data points.

Suppose the heights of adult females is normally distributed with a mean of 66 inches and a standard deviation of 175 inches. Statistics Understanding Basic Statistics Critical Thinking. So Z 80-705 105 2 Since Z score is 2 which lie between -3 to 3 it means 80 is not an outlier.

Suppose that the heights of adult males is normally distributed with a mean of 70 inches and a standard deviation of 22 inches. Bobs results were reported to be at the 95th percentile. Here we have µ 70 σ3 X 80.

Consider the data value 80. Outliers One indicator of an outlier is that an observation is more than 25 standard deviations from the mean.


68 95 99 Rule Normal Distribution Explained In Plain English


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68 95 99 Rule Normal Distribution Explained In Plain English


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