Television have a lifetime of 482 hours; The Sony factory makes
10,588 in 3months. the average of...
Television have a lifetime of 482 hours; The Sony factory makes
10,588 in 3months. the average of a television lasting
this long is 80 . what is the probability
that43televisions out of the 10,588?
television have a lifetime of 482 hours; The Sony
factory makes 10,588 in 3months. the average of a
television lasting this long is 80 . what is the
probability that 43 televisions out of the 10,588?
please answer with steps.
Lightbulbs of a certain type are advertised as having an average
lifetime of 750 hours. The price of these bulbs is very favorable,
so a potential customer has decided to move forward with a purchase
agreement unless it can be demonstrated that the true average
lifetime is smaller than what is advertised. A random sample of 50
lightbulbs was selected, the lifetime of each bulb determined, and
the appropriate hypotheses were tested using computer software,
which gave the following results....
Lightbulbs of a certain type are advertised as having an average
lifetime of 750 hours. The price of these bulbs is very favorable,
so a potential customer has decided to go ahead with a purchase
arrangement unless it can be conclusively demonstrated that the
true average lifetime is smaller than what is advertised. A random
sample of 42 bulbs was selected, the lifetime of each bulb
determined, and the appropriate hypotheses were tested using
MINITAB, resulting in the accompanying output....
The average lifetime of a light bulb is 3000 hours with a
standard deviation of 696 hours. A simple random sample of 36 bulbs
is taken.
What is the probability that the average life in the sample will
be greater than 3219.24?
Note: respond in decimal form, for example, if your solution is
87.1234%, you should enter in 0.871234.
The average lifetime of a light bulb is 2850 hours with a
standard deviation of 400. A simple random sample of 30 bulbs is
taken. What is the probability that the average life in the sample
will be between 2600 and 2700 hours?
1. Young children in the U.S. are exposed to an average of 4
hours of television per day, which can adversely impact a child’s
well-being. You are working in a research lab that hypothesizes
that children in low income households are exposed to more than 4
hours of television. In order to test this hypothesis, you
collected data on a random sample of 75 children from low income
households. You found a sample mean television exposure time of 4.5
hours....
If the manager at Walmart puts a sign up next to a Sony
television that reads, "Only $199.99! $58.01 less than Best Buy,"
this is an example of what type of pricing strategy?
A. Comparison discounting
B. Random discounting
C. Everyday low prices
D. Penetration discounting
E. Periodic discounting
Researchers have collected data on the hours of television
watched in a day and the age of a person. You are given the data
below.
Hours of Television
Age (in years)
1
45
3
30
4
22
3
25
6
5
a.
Determine the dependent variable.
b.
Compute the least squares estimated regression equation.
c.
Is there a significant relationship between the two variables?
Use a t test and a .05 level of significance. Be sure to
state the...
Researchers have collected data on the hours of television
watched in a day and the age of a person. They have taken 6
samples. A linear regression analysis has already been run on this
data. Here are the partial results:
Analysis of variance (Hours of Television):
Source
DF
Sum of squares
Mean squares
F
Pr > F
Model
10.939
Error
Total
13.333
Model parameters (Hours of Television):
Source
Value
Standard error
t
Pr > |t|
Lower...
Shipments of television set arrive at a factory have varying
levels of quality. In order to decide whether to accept a
particular shipment, inspectors randomly select a sample of 10
television sets and test them; if no more than one
television set in the sample is defective, the shipment is
accepted. Suppose a very large shipment arrives in which 2% of the
television sets are defective.
Let X be a random variable representing the number of
defective television set in...