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Roman55 [17]
3 years ago
15

Which of the following is not a valid probability distribution for a discrete random variable? Check all that apply.

Mathematics
2 answers:
IgorC [24]3 years ago
3 0
B is one of them, do you have any ideas?
Sedbober [7]3 years ago
3 0

Answer:

Option B and D are correct.

Step-by-step explanation:

We know that Sum of the probability distribution of a discrete random variable is equal to 1.

using this result we check which is not valid probability distribution.

Option A).

Sum of Probability Distribution

=\frac{1}{5}+\frac{1}{10}+\frac{1}{10}+\frac{1}{10}+\frac{1}{5}+\frac{1}{10}+\frac{1}{10}+\frac{1}{10}=\frac{2+1+1+1+2+1+1+1}{10}=\frac{10}{10}=1

So, This is valid Probability distribution.

Option B).

Sum of Probability Distribution

=\frac{1}{3}+\frac{1}{4}+\frac{1}{5}+\frac{1}{6}=\frac{20+15+12+10+}{60}=\frac{57}{10}\neq1

So, This is not a valid Probability distribution.

Option C).

Sum of Probability Distribution

=\frac{1}{2}+\frac{1}{4}+\frac{1}{8}+\frac{1}{16}+\frac{1}{32}+\frac{1}{64}+\frac{1}{128}+\frac{1}{128}=\frac{64+32+16+8+4+2+1+1}{128}=\frac{128}{128}=1

So, This is valid Probability distribution.

Option D).

Given Probability Distribution has negative probability which is not possible.

So, This is not a valid Probability distribution.

Option E).

Sum of Probability Distribution

=\frac{1}{6}+\frac{1}{6}+\frac{1}{6}+\frac{1}{6}+\frac{1}{6}+\frac{1}{6}=\frac{1+1+1+1+1+1}{6}=\frac{6}{6}=1

So, This is valid Probability distribution.

Therefore, Option B and D are correct.

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Answer:

7/6 or A

Step-by-step explanation:

2/3(9-6)-5/6= 7/6

6 0
3 years ago
What is the population standard deviation of this data set?*
Minchanka [31]

Answer:

C)  2

Step-by-step explanation:

step 1:  Find mean of data set

2+4+4+5+7+8 = 30

30/6 = 5

Mean = 5

step 2: subtract each data value from the mean and square it

5-2 = 3;   3² = 9

5-4 = 1;   1² = 1

5-4 = 1;   1² = 1

5-5 = 0;   0² = 0

5-7 = -2;   (-2²) = 4

5-8 = -3;   (-3²) = 9

Add the squared results:

9+1+1+0+4+9 = 24

Divide 24 by 6 to get the Variance of 4

Take the square root of the Variance to get the Standard Deviation

\sqrt{4} = 2

5 0
3 years ago
P(a)=0.50 p(b)=0.30 and p(a and b)=0.15 what is p(a or b)
Softa [21]

Answer:

Option C is correct

P(A or B) = 0.65

Step-by-step explanation:

<u>Given: </u>

P(A) =0.5

P(B)=0.30

P(A and B) =0.15

( The probability of the happening of both independent events will be there product) P( A and B ) =P(A).P(B)

<u>Solution:</u>

To find the probability  of the Happening of event A either event B  we will use the following formula

P(A or B) = P(A) + P(B)-P(A and B)

                  = 0.5 + 0.3 - 0.15

                  =0.65

6 0
3 years ago
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Answer:

0.+.20.=.40Step-by-step explanation:

6 0
3 years ago
1. The national mean (μ) IQ score from an IQ test is 100 with a standard deviation (s) of 15. The dean of a college wants to kno
Nat2105 [25]

Answer:

We conclude that the mean IQ of her students is different from the national average.

Step-by-step explanation:

We are given that the national mean (μ) IQ score from an IQ test is 100 with a standard deviation (s) of 15.

The dean of a college want to test whether the mean IQ of her students is different from the national average. For this, she administers IQ tests to her 144 students and calculates a mean score of 113

Let, Null Hypothesis, H_0 : \mu = 100 {means that the mean IQ of her students is same as of national average}

Alternate Hypothesis, H_1 : \mu\neq 100  {means that the mean IQ of her students is different from the national average}

(a) The test statistics that will be used here is One sample z-test statistics;

               T.S. = \frac{Xbar-\mu}{\frac{s}{\sqrt{n} } } ~ N(0,1)

where, Xbar = sample mean score = 113

              s = population standard deviation = 15

             n = sample of students = 144

So, test statistics = \frac{113-100}{\frac{15}{\sqrt{144} } }

                             = 10.4

Now, at 0.05 significance level, the z table gives critical value of 1.96. Since our test statistics is more than the critical value of z which means our test statistics will fall in the rejection region and we have sufficient evidence to reject our null hypothesis.

Therefore, we conclude that the mean IQ of her students is different from the national average.

3 0
3 years ago
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