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allochka39001 [22]
3 years ago
14

business statistics 8-10 In an article in Marketing Science, Silk and Berndt investigate the output of advertising agencies. The

y describe ad agency output by finding the shares of dollar billing volume coming from various media categories such as network television, spot television, newspapers, radio, and so forth. a Suppose that a random sample of 400 U.S. advertising agencies gives an average percentage share of billing volume from network television equal to 7.46 percent, and assume that the population standard deviation equals 1.42 percent. Calculate a 95 percent confidence interval for the mean percentage share of billing volume from network television for the population of all U.S. advertising agencies.
Mathematics
1 answer:
Allisa [31]3 years ago
5 0

Answer: (7.321\ , \ 7.599)

Step-by-step explanation:

Given : Sample size : n= 400  () large sample

Significance level : \alpha: 1-0.95=0.05

By using Standard normal table , Critical value : z_{\alpha/2}=1.96

Sample mean : \overline{x}= 7.46

Standard deviation: \sigma=1.42

The confidence interval for population means is given by :-

\overline{x}\pm z_{\alpha/2}\dfrac{\sigma}{\sqrt{n}}

=7.46\pm(1.96)\dfrac{1.42}{\sqrt{400}}

\approx 7.46\pm0.139=( 7.46-0.139,\ 7.46+0.139)\\\\=(7.321\ , \ 7.599)

Hence, the 95 percent confidence interval for the mean percentage share of billing volume from network television for the population of all U.S. advertising agencies = (7.321\ , \ 7.599)

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Three cards are drawn at random from a standard deck of cards, without replacement. Find the probability that the suits of the c
Evgesh-ka [11]

The probability that suits of cards are spades, hearts, and spades is 39/850 or 0.046.

According to the give question.

Three cards are drawn from a standard deck of cards without replacement.

Since,

The total number of cards in a standard deck = 52

Total number of spade cards = 13

Total number of heart cards = 13

Now,

The probabbility of getting first card as a spade card = 13/52 = 1/4

The probability of getting second card as heart card

= 13/(52 -1)     (cards are drawn without replacement)

= 13/51

The probability of getting third card as a spade card

= (13 - 1)/52 -2

= 12/50

= 6/25

Therefore, the probability that suits of the cards are spades, hearts, spades

= 1/4 × 13/51 × 6/25

= 39/850

= 0.046

Hence, the probability that suits of cards are spades, hearts, and spades is 39/850 or 0.046.

Find out more information about probability here:

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8 0
1 year ago
The Office of Student Services at a large western state university maintains information on the study habits of its full-time st
Rudiy27

Answer: The standard error of the mean = 0.5

Step-by-step explanation:

Given : Sample size : n =  144

Standard deviation : \sigma=6\text{ hours}

The formula to find the standard error of the mean is given by :-

S.E.=\dfrac{\sigma}{\sqrt{n}}

i.e. S.E.=\dfrac{6}{\sqrt{144}}=0.5

Hence, the standard error of the mean =0.5

3 0
3 years ago
Multiple Choice
Zigmanuir [339]

Answer:

the slope is POSITIVE (answer A)

Step-by-step explanation:

The line goes through: (-1, -2)  and ( 2, 1)

Then the slope can be calculated as:

slope = (y2 - y1) / (x2 - x1)

in our case:

slope = (1 - -2) / (2 - -1) = (1 + 2) / (2 + 1) = 3 / 3 = 1

Therefore, the slope is POSITIVE (answer A)

8 0
2 years ago
Read 2 more answers
For each set of probabilities, determine whether the events A and B are independent or dependent.
lozanna [386]

Answers:

  • (a) Independent
  • (b) Dependent
  • (c) Dependent
  • (d) Independent

========================================================

Explanation:

If events A and B are independent, then the two following equations must both be true

  • P(A | B) = P(A)
  • P(B | A) = P(B)

This is because the conditional probability P(A|B) means "P(A) when B has happened". If B were to happen, then P(A) must be the same as before. In other words, event B does not affect A, and vice versa.

For part (a), we have P(B) = 1/4 and P(B|A) = 1/4 showing that P(B|A) = P(B) is true, and therefore we can say the events are independent. We don't need the info that P(A) = 1/8.

------------------------

Unlike part (a), part (b) has the answer "dependent" because P(A) = 1/8 and P(A | B) = 1/3 differ in value. Event A starts off at probability 1/8, but then event B occurring means P(A) gets increased to 1/3. The prior knowledge about B changes the chances of A. The P(B) = 1/5 is unneeded.

------------------------

If A and B were independent, then,

P(A and B) = P(A)*P(B)

However,

P(A)*P(B) = (1/4)*(1/5) = 1/20

which is not the same as P(A and B) = 1/6. Therefore the two events are dependent.

------------------------

Refer back to part (a)

P(A) = 1/4 and P(A|B) = 1/4 are identical in value, so P(A|B) = P(A) which leads to the events being independent. Whether we know event B happened or not, it does not affect the outcome of event A. P(B) = 1/9 is unneeded.

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X – 23 = 18 hurry i need it now
SashulF [63]

Answer:

x=41

Step-by-step explanation:

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3 years ago
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