Question

**20 women and 30 men between 18 to 60 years old and the
number of hours that they work. These information would be your
populations. For each group find the followings:**

**20 Women Ages = 19, 23, 40, 18, 60, 50, 21, 30, 33, 28,
33, 35, 28, 24, 28, 18, 19, 22, 25, 50**

**20 women work hours weekly = 40, 24, 30, 31, 19, 10, 21,
5, 40, 9, 8, 40, 37, 12, 20, 40, 20, 10, 40, 25**

**30 men Ages = 18, 18, 19, 27, 19, 19, 20, 35, 22, 43,
40, 34, 18, 40, 23, 48, 29, 21, 42, 17, 23, 45, 51, 56, 18, 21,
27,19,19, 30**

**30 men work hours weekly = 35, 30, 35, 40, 30, 20, 25,
45, 5, 12, 40, 40, 41, 16, 10, 35, 40, 20, 25, 30, 40, 40, 45, 40,
35, 17, 21 28, 29, 30**

a) Find the Mean, Median, and Mode,
Standard deviation, Variance, the percentile of 40, the z-score for
the value of 35, Q_{1}and Q_{3}**for the ages
only.**

b) Construct a frequency distribution for men and women separately with 6 classes and use the lowest number as the lower class limit of the first class. Then draw a histogram, for that frequency distribution for the ages only.

c) Draw boxplot and 5 number summary. Do you have outliers?

d)Draw the bell shaped distribution.( Impirical Rule)

e)Create a sample of 10 men and 10 women from each group, find
their sample mean for the number of work hours. (Independent
samples) Then test the hypothesis that the average work hours for
the men and the women in the group is different.
((**?)**Alfa=0.1) Sec 11.3

f) Use the datas from the samples that you created in part (e), and calculate the Coefficient of determination and find the least square regression line, then graph the line. [ You should consider the ages of people as x value (Horizontal-Axis) and the number of hours that they work as y value (Vertical-Axis).] Please explain that what kind of correlation exist between the ages of the people and the number of hours they work.

Answer #1

Dataset:
Husband Wife
53 50
38 34
46 44
30 36
31 23
26 31
29 25
48 51
65 46
29 26
28 23
29 32
25 22
22 21
21 24
43 50
24 27
38 33
33 26
35 29
40 29
27 25
27 24
49 38
48 39
27 27
26 24
40 34
35 37
21 26
32 39
30 28
60 52
36 40
25 23
66 55
52 34
41 40
43 ...

Data set for ages of students in stats class:
17, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 19, 19, 19, 19,19,
20, 20, 20, 21, 21, 21, 21, 21, 21, 22, 22, 22, 22, 23, 23, 23, 23,
24, 25, 25, 25, 26, 26, 27, 28, 28, 28, 28, 29, 29, 32, 36, 42
1) Compute the 5-number summary and create a modified box-plot,
using the inner-quartile range to identify any outliers.

to look at 36 weeks instead of 20 weeks. His quality improvement
team provided him with the data below after an “intervention” was
introduced in week 20. Calculate the upper and lower control limits
and then construct a control chart. Display your chart.
Question: Using the rules for detecting special
causes, can you detect any special causes in this case? If so, what
special causes can you detect? What does this mean? Was the
intervention successful in reducing the delays?...

The data collection is conducted by randomly selecting 51
persons whose ages are between 25-30 and interviewing the average
time they spend on Instagram in a day.
What is the probability that people ages between 25-30
spend time using Instagram for more than one hour in a
day?
I need a PMF equation
The collected data:
Number of Person
Time
Number of Person
Time
Number of Person
Time
Number of Person
Time
1
120
14
90
26
120
39
70...

Person
number
X
Value
Y
Value
Person number
X
Value
Y
Value
Person number
X
Value
Y
Value
1
24
30
11
39
42
21
21
27
2
42
53
12
60
65
22
33
29
3
20
27
13
34
40
23
25
27
4
31
30
14
24
26
24
22
25
5
22
24
15
51
57
25
28
33
6
46
47
16
80
83
26
34
40
7
52
60
17
28
27
27
53...

____________________________________________
The results of a sample of 372 subscribers to Wired
magazine shows the time spent using the Internet during the week.
Previous surveys have revealed that the population standard
deviation is 10.95 hours. The sample data can be found in the Excel
test data file.
What is the probability that another sample of 372 subscribers
spends less than 19.00 hours per week using the Internet?
____________________________________________
Develop a 95% confidence interval for the population mean
____________________________________________
If the editors...

The results of a sample of 372 subscribers
toWiredmagazine shows the time spent using the Internet
during the week. Previous surveys have revealed that the population
standard deviation is 10.95 hours. The sample data can be found in
the Excel test data file.
What is the probability that another sample of 372 subscribers
spends less than 19.00 hours per week using the Internet?
Develop a 95% confidence interval for the population mean
If the editors of Wiredwanted to have the...

The table to the right shows the number of men and women, in
thousands, enrolled in degree-granting institutions in a certain
year. The men and women are categorized by their age groups.
Complete parts a) through f) below. Men Women 14 to 17 years old
19 13 18 and 19 years old 274 321 20 and 21 years old 290 451 22 to
24 years old 544 685 25 to 29 years old 432 826 30 to 34 years old...

For this activity, you will be creating a confidence interval
for the average number of hours of TV watched. Last semester, my
MAT 152 online students asked the question, “How many hours of
screen time do you have in a typical week?” Please use the data
they collected to answer the following questions.
Data: 21, 2, 28, 30, 18, 21, 25, 20, 25, 14, 21, 25, 50, 39, 46,
20, 35, 45, 37, 46
Are there any outliers in this...

descriptive statistics
for the given data
4 8 18 20 21 22 23 24 25 26 27 28 29 30 31 31 32 32 33 33 34 35 36
37 38 39 47 53

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