Question
In: Statistics and Probability
The demand (in number of copies per day) for a city newspaper, x, has historically been...
|
The demand (in number of copies per day) for a city newspaper,
x, has historically been 43,000, 62,000, 74,000, 89,000, or 104,000
with the respective probabilities .2, .16, .4, .2, and
.04. |
| (b) | Find the expected demand. (Round your answer to the nearest whole number.) |
| µx |
| (c) |
Using Chebyshev's Theorem, find the minimum percentage of all possible daily demand values that will fall in the interval [μx ± 2σx]. (Round your answer to the nearest whole number. Input your answers to minimum percentage and percentage of all possible as percents without percent sign.) |
| The minimum percentage of all possible daily demand values is percent. |
| (d) |
Calculate the interval [μx ± 2σx]. According to the probability distribution of demand x previously given, what percentage of all possible daily demand values fall in the interval [μx ± 2σx]? (Round your intermediate values to the nearest whole number. Round your answers to the nearest whole number. Input your answers to minimum percentage and percentage of all possible as percents without percent sign.) |
| The interval is [ , ]. | ||
| The percentage of all possible daily demand values that fall in the interval is percent. |
Solutions
orchestra answered 1 year agoRelated Solutions
The demand (in number of copies per day) for a city newspaper, x, has historically been...
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with the respective probabilities .2, .16, .5, .1, and
.04.
(b)
Find the expected demand. (Round your answer to the
nearest whole number.)
(c)
Using Chebyshev's Theorem, find the minimum percentage of all
possible daily demand values that will fall in the interval
[μx ± 2σx]. (Round
your answer to the nearest whole number. Input your answers to...
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87
50
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60
355
55
500
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41
350
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240
45
45
125
235
65
60
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$?
median
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mode
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Below is additional information concerning this Regression:
Standard Error (SE) of the Intercept coefficient = 700
Standard Error (SE) of the price coefficient = 0.64
Standard Error (SE) of the Income coefficient = 1.40,
R-Square = 0.64,
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Predict the expected number of interruptions for a day that has 150 users per hour on...
Predict the expected number of interruptions for a day that has
150 users per hour on average, using a
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DATA four;
INPUT interruptions usage;
cards;
0 104.2
2 124.6
5 176.3
6 169.3
1 104.6
2 115.8
3 127.8
6 179.4
8 210.5
4 126.7
0 100.5
1 119.5
1 123.8
0 106.4
4 156.7
3 148.2
5 156.2
6 167.3
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2 124.6
3 145.9
4 156.2
;
run;
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Number of Cars Arriving
Frequency
4
10
5
30
6
50
7
65
8
45
Total:
200
a. Set up a probability distribution table (including the lower
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the probability range) for the car arrivals.
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Group of answer choices
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The current demand is 40 customers per day. Mr. Miller expects that the demand grows to...
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