Question

A sample of college students was asked how much they spent monthly on pizza. Approximate the standard deviation for the cost. Monthly pizza cost $ (Number of students)

10.00-19.99 (9)

20.00-29.99 (13)

30.00-39.99 (28)

40.00-49.99 (12)

50.00-59.99 (5)

The sample standard deviation for the cost is $ ____ (Round to the nearest cent as needed.)

Answer #1

TOPIC:Sample standard deviation from grouped frequency distribution.

A sample of college students was asked how much they spent
monthly on pizza. Approximate the standard deviation for the cost.
Monthly pizza cost ($) Number of students 10.00-19.99 (5)
20.00-29.99 (19) 30.00-39.99 (21) 40.00-49.99 (19)
50.00-59.99

A sample of college students was asked how much they spent
monthly on coffee. Approximate the standard deviation for the
cost.
Monthly
coffee
cost ($)
Number of students
10.00-19.99
7
20.00-29.99
20
30.00-39.99
24
40.00-49.99
13
50.00-59.99
6
The sample standard deviation for the cost is __ (Round to the
nearest cent as needed.)

A sample of college students was asked how much they spent
monthly on coffee. Approximate the standard deviation for the
cost.
Monthly
coffeecoffee
cost ($)
Number of students
10.00-19.99
7
20.00-29.99
20
30.00-39.99
24
40.00-49.99
13
50.00-59.99
6
The sample standard deviation for the cost is __

A sample of college students was asked how much they spent
monthly on cell phone plans.
Approximate the standard deviation for the cost.
Monthly
cell phone plancell phone plan
cost ($)
Number of students
10.00-19.99
8
20.00-29.99
12
30.00-39.99
30
40.00-49.99
12
50.00-59.99
8
The sample standard deviation for the cost is
$______.
(Round to the nearest cent as needed.)

A sample of college students was asked how much they spent
monthly on pizza. Approximate the standard deviation for the
cost
Monthly Pizza cost ($) Number of students
10.99-19.99 6
20.99-29.99 20
30.99-39.99 29
40.99-49.99 10
50.99-59.99 10
The sample standard deviation for the cost is $___. (round to
the nearest cent)

A sample of college students was asked how much they
spent monthly on a cell phone plan (to the nearest dollar). Find
sample standard deviation.
Monthly Cell Phone Plan Cost ($)
Number of Students
10 - 19
8
20 - 29
16
30 - 39
21
40 - 49
11
50 - 59
4
Q13) The following data represent the difference in
scores between the winning and losing teams in a sample of 15
college football bowl games from 2004-2005....

A marketing professor asked a random sample of college students
who have cell phones how much their monthly bill was. He found the
sample mean was $100. Using a two-tailed significance test, he
rejected Ho: µ = $80 using the usual decision cutoff of α = 0.05.
Which one of the following could be a 95% confidence interval for
the mean monthly cell phone bill for all college students with cell
phones?
Show your reasoning.
a) ($70, $110)
b) ($70,...

A survey was taken of 383 students that asked the question how
much time they spent watching television in a day (in minutes).
Suppose this sample study follows a Normal distribution with a
sample mean x-bar = 118 minutes. Also suppose the population has a
standard deviation σ = 53 minutes. Determine a 96% confidence
interval for the mean television watching time.
A. 112.67 to 123.31
B. 117.86 to 118.14
C. 112.44 to 123.56
D. 111.70 to 124.30

1. A questionnaire of spending
habits was given to a random sample of college students. Each
student was asked to record and report the amount of money they
spent on books and school supplies in a semester. The amount of
money spent on books and school supplies is said to follow normal
distribution. The sample of 85 students resulted in an average of
$850.
a) What are the simple conditions
necessary for the confidence interval to be valid?
b) Find...

In a study about how much College students sleep at night, a
sample of 25 students was selected. The sample average mean number
of hours of sleep was 6.64 and the sample standard deviation was
1.075.
(a) Construct a 90% confidence interval for the true mean number
of hours of sleep at night College students get.
(b) Interpret the interval.
(c) What assumptions must be satisfied for the interval obtained
in part (a) to be statistically valid?

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