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MAXImum [283]
3 years ago
13

Tom says that he needs 6 rolls to obtain each possible outcome on a 6-sided die. On the fourth roll, he rolls his second "3". To

m says that the die is loaded and that each outcome is not equally likely. Is Tom correct here? If you think Tom is incorrect, how many rolls should Tom make until he sees each number occurring about 1/6 of the time?
Mathematics
2 answers:
Mumz [18]3 years ago
7 0

Answer with explanation:

Number of Possible Outcome when you roll a 6 faced die ={1,2,3,4,5,6}

 Probability of each Outcome

     =\frac{1}{6}

Tom's Statement

1.→He Says that, he needs 6 rolls to obtain each possible outcome on a 6-sided die.

2.→On the fourth roll, he rolls his second "3".

3.→Tom says that the die is loaded and that each outcome is not equally likely.

→All the three statements are Incorrect.As the number of trials increases , the chances of occuring of each event equally increases.

→Number of rolls should Tom make until he sees each number occurring about \frac{1}{6} of the time approximately

                 \geq 6^6

Anna11 [10]3 years ago
3 0

Answer:

Tom is incorrect

Step-by-step explanation:

The odds of getting any number on a 6-sided die are 1:6

Every time he rolls, there is a 1:6 chance he gets any number.  Therefore, it is totally plausible to get the same number again.  As the number of rolls tends toward infinity, the ratio of each number occurring to number of rolls equals 1:6.  

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Use trig ratios to find the measure of the angle in this triangle. A .cos^-1(4/5) B. tan(4/5) tan^-1(4/5) C. sin(4/5) D. cos(4/5
ololo11 [35]

Answer:

The answer is A

Step-by-step explanation:

Step 1: Use Cosine to find ∅

Cos∅=\frac{4}{5}

∅=Cos^{-1}(\frac{4}{5})

Therefore the answer is A

8 0
3 years ago
5. Stacy bought 4 trays of eggs at sh.150 per tray.
blagie [28]

Answer:

C

Step-by-step explanation:

4 0
3 years ago
Recently, the Dow opened at 26,428 ad closed at 26,340. what was the change in the Dow for the day?
IRISSAK [1]

Answer:

88.

Step-by-step explanation:

428-360 = 88

5 0
3 years ago
In spring 2014, faculty from the City University of New York (CUNY) reported on a randomized controlled trial they conducted. Th
Tems11 [23]

Answer:

Explanatory variable: Extra support by faculties

Response variable: whether community college students who have assess into elementary algebra could be successful if they were placed directly into college-level statistics.

Confounding Variable: Ability of students to get passing grades.

It is an experiment to check if the hypothesis is true.

Step-by-step explanation:

An explanatory variable is a type of independent variable. An explanatory variable is that variable that explains changes in another variable. It can be anything that might affect the response variable. The explanatory variable is used to predict or explain differences in the response variable. In an experimental or research study, the explanatory variable is the variable that is manipulated by the researcher.

From the information given,

Explanatory variable: Extra support by faculties.

The response variable is also known as the dependent/outcome variable. Here, its value can be predicted or its variation can be explained by the explanatory variable. In an experimental study, this is the outcome that is measured after manipulation of the explanatory variable

From the question above,

Response variable: whether community college students who have assess into elementary algebra could be successful if they were placed directly into college-level statistics.

A confounding variable is that outside influence that changes the effect of a dependent and independent variable. This extraneous influence is often used to influence the outcome of an experimental design. The Confounding Variable in the above is:

Confounding Variable: Ability of students to get passing grades.

It is an experiment to check if the hypothesis is true.

6 0
2 years ago
In a certain​ country, the mean birth weight for boys is 3.27 ​kg, with a standard deviation of 0.51 kg. Assuming that the distr
Degger [83]

Answer:

0.066

Step-by-step explanation:

We solve this question using z score formula

z = (x-μ)/σ, where

x is the raw score

μ is the population mean

σ is the population standard deviation

For the question

mean birth weight for boys is 3.27 ​kg, with a standard deviation of 0.51 kg.

x = 2.5

Hence:

z = 2.5 - 3.27/0.51

z = -1.5098

Probability value from Z-Table:

P(x ≤ 2.5) =P(x < 2.5) = P(x = 2.5) =

=0.065547

Therefore, the proportion of baby boys that are born with a low birth weight is 0.066

5 0
3 years ago
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