In: Statistics and Probability

Create a Graph and label axis - These data come from the 2008 General Social Survey. A subset of 190 respondents were selected at random from the full data set. Graph either: 1. a. Histograms b. Bar charts c. Box plots d. Stem-and-leaf plots e. Pie charts f. Line charts g. Frequency tables Variable Information:

**Income**: 1 = Under $1000; 2 = $1000-2999; 3 =
$3000-3999; 4 = $4000-4999; 5 = $5000-5999; 6 = $6000-6999; 7 =
$7000-7999; 8 = $8000-9999; 9 = $10000-12499; 10 = $12500-14999; 11
= $15000-17499; 12 = $17500-19999; 13 = $20000-22499; 14 =
$22500-24999; 15 = $25000-29999; 16 = $30000-34999; 17 =
$35000-39999; 18 = $40000-49999; 19 = $50000-59999; 20 =
$60000-74999; 21 = $75000-$89999; 22 = $90000-$109999; 23 =
$110000-$129999; 24 = $130000-$149999; 25 = $150000+.

**INCOME**: 9 14 17 17 21 8 9 5 2 13 15 18 3 16 16
18 13 24 17 18 3 9 11 22 22 16 18 19 19 21 22 25 25 11 19 18 19 19
19 19 20 20 22 23 15 16 18 21 13 13 15 15 16 17 22 18 20 21 11 18
22 12 20 21 25 13 22 15 16 17 17 23 25 17 18 19 21 23 2 15 20 14 15
16 16 20 22 22 22 23 18 20 21 23 10 13 20 25 17 12 19 18 20 10 16
16 17 21 9 8 10 15 17 20 22 4 7 13 15 19 20 20 20 20 23 25 9 16 17
3 9 4 21 11 15 20 9 15 15 15 20 20 22 22 22 21 20 20 21 24 3 11 15
25 19 20 9 12 14 15 18 20

a)

Histogram

b. Bar charts

c. Box plots

d. Stem-and-leaf plots

e. Pie charts

Code | Range | Frequency | % |

1 | <$1000 | 0 | 0% |

2 | $1000-2999 | 2 | 1% |

3 | $3000-3999 | 4 | 2% |

4 | $4000-4999 | 2 | 1% |

5 | $5000-5999 | 1 | 1% |

6 | $6000-6999 | 0 | 0% |

7 | $7000-7999 | 1 | 1% |

8 | $8000-9999 | 2 | 1% |

9 | $10000-12499 | 8 | 5% |

10 | $12500-14999 | 3 | 2% |

11 | $15000-17499 | 5 | 3% |

12 | $17500-19999 | 3 | 2% |

13 | $20000-22499 | 7 | 4% |

14 | $22500-24999 | 3 | 2% |

15 | $25000-29999 | 15 | 9% |

16 | $30000-34999 | 11 | 7% |

17 | $35000-39999 | 11 | 7% |

18 | $40000-49999 | 12 | 7% |

19 | $50000-59999 | 11 | 7% |

20 | $60000-74999 | 21 | 13% |

21 | $75000-$89999 | 11 | 7% |

22 | $90000-$109999 | 14 | 9% |

23 | $110000-$129999 | 6 | 4% |

24 | $130000-$149999 | 2 | 1% |

25 | $150000+. | 7 | 4% |

f. Line charts

g. Frequency tables Variable

Code |
Range |
Frequency |

1 | <$1000 | 0 |

2 | $1000-2999 | 2 |

3 | $3000-3999 | 4 |

4 | $4000-4999 | 2 |

5 | $5000-5999 | 1 |

6 | $6000-6999 | 0 |

7 | $7000-7999 | 1 |

8 | $8000-9999 | 2 |

9 | $10000-12499 | 8 |

10 | $12500-14999 | 3 |

11 | $15000-17499 | 5 |

12 | $17500-19999 | 3 |

13 | $20000-22499 | 7 |

14 | $22500-24999 | 3 |

15 | $25000-29999 | 15 |

16 | $30000-34999 | 11 |

17 | $35000-39999 | 11 |

18 | $40000-49999 | 12 |

19 | $50000-59999 | 11 |

20 | $60000-74999 | 21 |

21 | $75000-$89999 | 11 |

22 | $90000-$109999 | 14 |

23 | $110000-$129999 | 6 |

24 | $130000-$149999 | 2 |

25 | $150000+. | 7 |

Create a Graph and label axis - These data come from the 2008
General Social Survey. A subset of 190 respondents were selected at
random from the full data set. Graph either: 1. a. Histograms b.
Bar charts c. Box plots d. Stem-and-leaf plots e. Pie charts f.
Line charts g. Frequency tables Variable Information: Education is
highest year of education (e.g., 12 = High School; 16 = Bachelors,
etc.). Education: 11 6 12 8 12 12 10 12 9...

Create a Graph and label axis - These data come from the 2008
General Social Survey. A subset of 190 respondents were selected at
random from the full data set. Use the appropriate Graph either: a.
Histograms b. Bar charts c. Box plots d. Stem-and-leaf plots e. Pie
charts f. Line charts g. Frequency tables
Variable Information: Religious: 1 = Not religious, 2 =
Slightly religious, 3 = Moderately religious, 4 = Very
religious.
4 4 2 4 4 4...

Create a Graph and label axis - These data come from the 2008
General Social Survey. A subset of 190 respondents were selected at
random from the full data set. Graph either: 1. a. Histograms b.
Bar charts c. Box plots d. Stem-and-leaf plots e. Pie charts f.
Line charts g. Frequency tables Variable Information:
HEALTH: 1 = Poor, 2 = Fair, 3 = Good, 4 =
Excellent. Health 1 1 1 1 2 2 2 2 2 2 2...

1-
From the 2008 General Social Survey, females and males were
asked about the number of hours a day that the subject watched TV.
Females (n = 698) reported a mean of 3.08 hours with a standard
deviation of 2.70 hours. Males (n = 626) reported a mean of 2.87
hours with a standard deviation of 2.61 hours. Test that the mean
hours of TV watched by men and women is different from zero at the
5% significance level.
n...

From the 2008 General Social Survey, females and males were
asked about the number of hours a day that the subject watched TV.
Females (n = 698) reported a mean of 3.08 hours with a standard
deviation of 2.70 hours. Males (n = 626) reported a mean of 2.87
hours with a standard deviation of 2.61 hours. Test that the mean
hours of TV watched by men and women is different from zero at the
5% significance level.
n 1...

From the 2008 General Social Survey, females and males were
asked about the number of hours a day that the subject watched TV.
Females (n = 698) reported a mean of 3.08 hours with a standard
deviation of 2.70 hours. Males (n = 626) reported a mean of 2.87
hours with a standard deviation of 2.61 hours. Test that the mean
hours of TV watched by men and women is different from zero at the
5% significance level.
n 1...

From the 2008 General Social Survey, females and males were
asked about the number of hours a day that the subject watched TV.
Females (n = 698) reported a mean of 3.08 hours with a standard
deviation of 2.70 hours. Males (n = 626) reported a mean of 2.87
hours with a standard deviation of 2.61 hours. Test that the mean
hours of TV watched by men and women is different from zero at the
5% significance level.
(A) What...

1- From the 2008 General Social Survey, females and males were
asked about the number of hours a day that the subject watched TV.
Females (n = 698) reported a mean of 3.08 hours with a standard
deviation of 2.70 hours. Males (n = 626) reported a mean of 2.87
hours with a standard deviation of 2.61 hours. Test that the mean
hours of TV watched by men and women is different from zero at the
5% significance level.
(A)...

1. The General Social Survey (2008) asked a random sample of
people whether they agree with the following statement: A husband’s
job is to earn money; a wife’s job is to take care of the home.
Based on this data (displayed below), conduct a chi-square
hypothesis test to assess whether there are statistically
significant gender differences in feelings about gender roles ( =
0.05).
Male
Female
Total
Agree
181
195
376
Neither
142
145
287
Disagree
290
413
703
Total...

1. The General Social Survey (2008) asked a random sample of
people whether they agree with the following statement: A husband’s
job is to earn money; a wife’s job is to take care of the home.
Based on this data (displayed below), conduct a chi-square
hypothesis test to assess whether there are statistically
significant gender differences in feelings about gender roles ( =
0.05). Male Female Total Agree 183 192 375 Neither 143 140 283
Disagree 288 412 700 Total...

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