The math grades on the final exam varied greatly. Using the scores below, how many scores were within one standard deviation of the mean? How many scores were within two standard deviations of the mean?
993486577385 919346 968879 688589
The scores for math test #3 were normally distributed. If 15 students had a mean score of 74.8% and a standard deviation of 7.57, how many students scored above an 85%?
If you know the standard deviation, how do you find the variance?
To get the best deal on a stereo system, Louis called eight appliance stores and asked for the cost of a specific model. The prices he was quoted are listed below:
$216$135$281$189$218$193$299$235
Find the standard deviation.
A company has 70 employees whose salaries are summarized in the frequency distribution below.
Salary / Number of Employees5,001–10,000 / 8
10,001–15,000 / 12
15,001–20,000 / 20
20,001–25,000 / 17
25,001–30,000 / 13
Find the standard deviation.
Find the variance.
6. Calculate themeanandvarianceof the data. Show and explain your steps. Round to the nearest tenth.
14,16,7,9,11,13,8,10
Create a frequency distribution table for the number of times a number was rolled on a die. (It may be helpful to print or write out all of the numbers so none are excluded.)
3,5,1,6,1,2,2,6,3,4,5,1,1,3,4,2,1,6,5,3,4,2,1,3,2,4,6,5,3,1
Answer the following questions using the frequency distribution table you created in No. 7.
Which number(s) had the highest frequency?
How many times did a number of 4 or greater get thrown?
How many times was an odd number thrown?
How many times did a number greater than or equal to 2 and less than or equal to 5 get thrown?
The wait times (in seconds) for fast food service at two burger companies were recorded for quality assurance. Using the data below, find the following for each sample.
Range
Standard deviation
Variance
Lastly, compare the two sets of results.
Company / Wait times in secondsBig Burger Company / 105 / 67 / 78 / 120 / 175 / 115 / 120 / 59
The Cheesy Burger / 133 / 124 / 200 / 79 / 101 / 147 / 118 / 125
10. What does it mean if a graph is normally distributed? What percent of values fall within 1, 2, and 3, standard deviations from the mean?
The number of vacation days taken by employees of a company is normally distributed with a mean of 14 days and a standard deviation of 3 days. For the next employee, what is the probability that the number of days of vacation taken is less than 10 days? More than 21 days?
How do you calculate the standard deviation?
How do you calculate the variance?