Question
Collect some quantitative data (if your data from week 1 is quantitative, you can use it)....
Collect some quantitative data (if your data from week 1 is quantitative, you can use it). Find the sample mean and standard deviation. Plot it in a histogram. Does the data seem to follow the bell curve of the normal distribution? What features of the data do or do not fit in with the shape of the normal curve. How much deviation from the curve is to be expected?
Homework Answers
Answer #1
The data is:
| Sales |
| 6904 |
| 8415 |
| 7999 |
| 1942 |
| 4713 |
| 7923 |
| 8034 |
| 7167 |
| 4557 |
| 6390 |
| 6556 |
| 5124 |
| 4275 |
| 1554 |
| 2083 |
| 8589 |
| 6742 |
| 1798 |
| 6911 |
| 8583 |
| 6064 |
| 7654 |
| 1578 |
| 8367 |
| 1750 |
| 6170 |
| 4968 |
| 2851 |
| 9181 |
| 7097 |
| 8610 |
| 8310 |
| 4808 |
| 5935 |
| 8272 |
| 3859 |
| 7585 |
| 8056 |
| 9733 |
| 6876 |
The sample mean and standard deviation are:
| mean | 6,099.58 |
| sample standard deviation | 2,398.88 |
The histogram is:
The data is slightly skewed to the left.
The deviation from the curve is expected to be 2398.88.
Not the answer you're looking for?
Similar Questions
Topic: Summarizing Data and Describing Relationships Using Technology collect quantitative data from the Internet, StatCrunch, and...
Topic: Summarizing Data and Describing Relationships Using
Technology
collect quantitative data from the Internet, StatCrunch, and
compute summary statistics of your data.
Do this assignment:
Collect 50 or more quantitative data.
a.) Using StatCrunch, compute the following five summary
statistics:
1. Sample mean
2. median sample
3. standard deviation
4. range
5. interquartile range (IQR).
b.) Then, construct a histogram. You do not have to construct a
histogram with sliders.
Make sure your data set is large enough (50 items)....
Feel free to use Minitab or Excel on all aspects of this. a) Collect a sample...
Feel free to use Minitab or Excel on all aspects of this.
a) Collect a sample of n=50 data values for which you can
observe some variation. Describe the source of the data, that is,
how did you get it? (If all the data are the same with no
variation, you aren’t measuring carefully enough).
b) Make a histogram of your 50 data values, and comment on the
location, spread and shape.
c) Calculate the mean and standard deviation of...
The following data represent the high-temperature distribution for a summer month in a city for some...
The following data represent the high-temperature distribution
for a summer month in a city for some of the last 130 days. Treat
the data as a population. Complete parts (a) through (c).
Temperature : 50-59 60-69 70-79 80-89 90-99 100-109
Days: 1 317 1416 1524 420 11
(a) Approximate the mean and standard deviation for
temperature.
Mean = _____
Standard Deviation = ________
(b) Use the frequency histogram of the data to verify that the
distribution is bell shaped.
____...
Generate data of 600 random variable from normal distribution with mean 8 and standard deviation 3...
Generate data of 600 random variable from normal distribution
with mean 8 and standard deviation 3 give it a name “MyData”
Calculate the following from MyData,
Mean, Variance, Standard deviation, minimum, Q1, Median, Q3,
Maximum.
Construct a histogram from MyData with title: Histogram of
MyData generated from Normal dist with mean= 8 and sd=3.
Construct a box plot from the generated data.
The following data represent the high-temperature distribution for a summer month in a city for some...
The following data represent the high-temperature distribution
for a summer month in a city for some of the last 130 years. Treat
the data as a population. Complete parts (a) through (c).
Temperature: 50-59 60-69 70-79 80-89 90-99 100-109
Days: 2 306 1470 1529 311 9
mean = ___________
standard deviation = _______________
(b) Use the frequency histogram of the data to verify that the
distribution is bell shaped.
____ No, the frequency histogram of the data is not bell...
Suppose we repeatedly take samples of size 100 from the population distribution, calculate a sample mean...
Suppose we repeatedly take samples of size 100 from the
population distribution, calculate a sample mean each time, and
plot those sample means in a histogram. The histogram we created
would be an example of a (variable, population, distribution,
sampling distribution???) . According to the central limit theorem,
the histogram would have a shape that is approximately (left
skewed, right skewed or normal???) , with mean (give a
number???) and standard deviation (give a number??). The
standard deviation of the statistic under...
Suppose Diane and Jack are each attempting to use a simulation to describe the sampling distribution...
Suppose Diane and Jack are each attempting to use a simulation
to describe the sampling distribution from a population that is
skewed right with mean 50 and standard deviation 15. Diane obtains
1000 random samples of size n=3 from the population, finds the
mean of the means, and determines the standard deviation of the
means. Jack does the same simulation, but obtains 1000 random
samples of size n=35 from the population. Complete parts (a)
through (c) below.
(a) Describe the...
15. The Green Environment Co. is a company to collect and process the recycles from some...
15. The Green Environment Co. is a company to collect and
process the recycles from some specic stations of a city. From
years of recorded data, the mean amount of recycle collected for
processing is 8650 Kg with a standard deviation of 1250 Kg. Suppose
100 trucks of this company are selected randomly.
(a) Find the probability that the sample mean amount of recycles
collected by 100 trucks is more than 8800 Kg.
(b) Find the probability that the sample...
Imagine you collect a sample of sales data from 20 people in your company and the...
Imagine you collect a sample of sales data from 20 people in
your company and the sample average sales per person is $8900 per
month. The estimated sample standard deviation is $1000. If the
true mean of sales per month across the whole company is $10000,
how probable is it that your sample mean would be MORE EXTREME than
$8900 per month.
1. Are the following statements TRUE or FALSE?: (a) According to the Central Limit Theorem, given...
1. Are the following statements TRUE
or FALSE?:
(a) According to the Central Limit Theorem, given a large sample
size (N > 30), then a normal probability plot of the
same data would necessarily follow a straight line.
(b) A 95% confidence interval for a population mean that does
not include zero would also mean that a hypothesis test on the same
data would yield a significant result at the .05 level.
(c) The mean of a t-distribution with 5...
ADVERTISEMENT
Need Online Homework Help?
Get Answers For Free
Most questions answered within 1 hours.
ADVERTISEMENT
Active Questions
asked 20 minutes ago
asked 26 minutes ago
asked 29 minutes ago
asked 34 minutes ago
asked 43 minutes ago
asked 49 minutes ago
asked 49 minutes ago
asked 59 minutes ago
asked 1 hour ago
asked 1 hour ago
asked 1 hour ago
asked 1 hour ago