Question

Each person in random samples of 207 male and 283 female working
adults living in a certain town in Canada was asked how long, in
minutes, his or her typical daily commute was. (Use a statistical
computer package to calculate the *P*-value. Use
*?*_{males} ? *?*_{females}. Round
your test statistic to two decimal places, your df down to the
nearest whole number, and your *P*-value to three decimal
places.)

Males |
Females |
||||

Samplesize |
x |
s |
Samplesize |
x |
s |

207 | 31.6 | 24.0 | 283 | 29.3 | 24.3 |

df?

t?

p value?

2

Do female college students spend more time than male college
students watching TV? This was one of the questions investigated by
the authors of an article. Each student in a random sample of 46
male students at a university in England and each student in a
random sample of 38 female students from the same university kept a
diary of how he or she spent time over a three-week period.

For the sample of males, the mean time spent watching TV per day
was 68.8 minutes and the standard deviation was 67.5 minutes. For
the sample of females, the mean time spent watching TV per day was
93.9 minutes and the standard deviation was 89.1 minutes. Is there
convincing evidence that the mean time female students at this
university spend watching TV is greater than the mean time for male
students? Test the appropriate hypotheses using

*?* = 0.05.

(Use a statistical computer package to calculate the
*P*-value. Use *?*_{males} ?
*?*_{females}.Round your test statistic to two
decimal places, your df down to the nearest whole number, and your
*P*-value to three decimal places.)

t |
= |

df | = |

P-value |
= |

Answer #1

1:

Here we have following information:

Here hypotheses are:

Pooled standard deviation is :

and t-statistics will be

Here degree of feedom will be

The p-value is: 0.2987

Since p-value is greater than 0.01 so we fail to reject the null hypothesis.

Do female college students spend more time than male college
students watching TV? This was one of the questions investigated by
the authors of an article. Each student in a random sample of 46
male students at a university in England and each student in a
random sample of 38 female students from the same university kept a
diary of how he or she spent time over a three-week period.
For the sample of males, the mean time spent watching...

Do female college students spend more time than male college
students watching TV? This was one of the questions investigated by
the authors of an article. Each student in a random sample of 46
male students at a university in England and each student in a
random sample of 38 female students from the same university kept a
diary of how he or she spent time over a three-week period.
For the sample of males, the mean time spent watching...

Do male college students spend more time than female college
students using a computer? This was one of the questions
investigated by the authors of an article. Each student in a random
sample of 46 male students at a university in England and each
student in a random sample of 38 female students from the same
university kept a diary of how he or she spent time over a
three-week period.
For the sample of males, the mean time spent...

Do male college students spend more time than female college
students using a computer? This was one of the questions
investigated by the authors of an article. Each student in a random
sample of 46 male students at a university in England and each
student in a random sample of 38 female students from the same
university kept a diary of how he or she spent time over a
three-week period.
For the sample of males, the mean time spent...

Do male college students spend more time than female college
students using a computer? This was one of the questions
investigated by the authors of an article. Each student in a random
sample of 46 male students at a university in England and each
student in a random sample of 38 female students from the same
university kept a diary of how he or she spent time over a
three-week period.
For the sample of males, the mean time spent...

Each person in a random sample of 226 male teenagers and a
random sample of 301 female teenagers was asked how many hours he
or she spent online in a typical week. The sample mean and standard
deviation were 15.3 hours and 11.3 hours for males and 14.1 and
11.8 for females. (Use a statistical computer package to calculate
the P-value. Use μmales −
μfemales. Round your test statistic to two
decimal places, your df down to the nearest whole...

Each person in a random sample of 228 male teenagers and a
random sample of 307 female teenagers was asked how many hours he
or she spent online in a typical week. The sample mean and standard
deviation were 15.3 hours and 11.3 hours for males and 14.3 and
11.7 for females. (Use a statistical computer package to calculate
the P-value. Use μmales −
μfemales. Round your test statistic to two
decimal places, your df down to the nearest whole...

Each person in a random sample of 226 male teenagers and a
random sample of 303 female teenagers was asked how many hours he
or she spent online in a typical week. The sample mean and standard
deviation were 15.1 hours and 11.3 hours for males and 14.1 and
11.8 for females. (Use a statistical computer package to calculate
the P-value. Use μmales − μfemales. Round your test statistic to
two decimal places, your df down to the nearest whole...

Each person in random samples of 250 male and 250 female working
American adults was asked how long, in minutes, they typically
spend on their lunch break. The males averaged 39.6 minutes with a
standard deviation of 24.3 minutes. The females averaged 37.3
minutes with a standard deviation of 24.0 minutes. Is there
convincing evidence that the mean lunch break times for male and
female working American adults differ? (a) State the null and
alternative hypotheses to be tested. (b)...

A random sample of 500 male and female adults was asked the
amount of time each person spent watching TV last week. Their
responses are shown at the right. At the 0.05 significance level,
does it appear that the amount of time spent watching TV is related
to the gender of the viewer?
Hours/Gender
Male
Female
Total
Under 8
90
110
200
8 to 15
85
75
160
15 or more
75
65
140
Total
250
250
500
1= the...

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