COURSE MANY SETS
1
A fast-food restaurant gave a “Customer Satisfaction Survey” in which 1500 customers rated
how satisfied they were with service. The results are shown below as a table.
Rating Frequency
Extremely Satisfied 234
Satisfied 443
Neutral 246
Dissatisfied 203
Extremely Dissatisfied 374
The relative frequency of people who were dissatisfied with the service is .
•
13.5%
•
29.5%
•
20.3%
•
38.5%
2
The formula for the standard deviation of a sample is:
Select the true statement for the following data set that has a mean of 8:
4, 6, 6, 6, 9, 9, 12, 12
Answer choices are rounded to the hundredths place.
•
The variance is 2.98 and the standard deviation is 8.86.
•
The variance is 8.86 and the standard deviation is 7.50.
•
The variance is 8.86 and the standard deviation is 2.98.
•
The variance is 7.50 and the standard deviation is 2.98.
, MAT 300 UNIT 2 MILESTONE SOPHIA
COURSE MANY SETS
3
Let x stand for the number of minutes spent waiting in line for a rollercoaster at an
amusement park. 81 people are sampled at a time. The sample mean is 18 minutes and the
sample standard deviation is 0.5 minutes.
, MAT 300 UNIT 2 MILESTONE SOPHIA
COURSE MANY SETS
What is the standard deviation of the population?
•
18
•
4.5
•
0.5
•
2
4
Mike's electronics store sold the following number of cellphones on each of the seven days of
a week.
Day Cell Phones Sold
Sunday 12
Monday 10
Tuesday 9
Wednesday 5
Thursday 14
Friday 10
Saturday 10
The mean number of cell phones sold by the store for the week was .
•
5 phones
•
70 phones
•
9 phones
•
10 phones
5
The average daily rainfall for the past week in the town of Hope Cove is normally distributed,
with a mean rainfall of 2.1 inches and a standard deviation of 0.2 inches.
If the distribution is normal, what percent of data lies between 1.9 inches and 2.3 inches of
rainfall?
, MAT 300 UNIT 2 MILESTONE SOPHIA
COURSE MANY SETS
•
34%
•
99.7%
•
68%
•
95%
6
Choose the statement that correctly describes a normal distribution.
•
The approximate percent of values lying within two standard deviations of the mean is
47.5%.
•
Approximately 68% of the values are greater than the mean value.
•
The approximate percent of values lying within three standard deviations of the mean is
49.85%.