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3 years ago

Mr . Bernstein teaches 100studens. of his 100studwnts ,21wear glasses . what percent of me Bernstein 's students wear glasses

Mathematics

2 answers:

atroni [7]3 years ago

7 0

Answer:

21% of his students wear glasses

Step-by-step explanation:

The answer is 21% because 21/100 =21

Hope it helps.

Oksanka [162]3 years ago

6 0

Answer:

21 %

Step-by-step explanation:

Of the 100 students only 21 wear glasses. 21 students of 100 students as a percent is 21 %.

21/100 × 100 = 21 %

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The minimum and maximum temperature for a day in Cupcake Town can be modeled by the equation below: 3|x − 8| + 15 = 18 What are

Anit [1.1K]

<span>3|x − 8| =18 - 15 = 3
</span>|x − 8| = 3/3 = 1
x − 8 = $\pm1$
x = $\pm1$ + 8
x = 1 + 8 or x = -1 + 8
x = 9 or x = 7
i.e. minimum temperature is 7 while the maximum temperature is 9

6 0

3 years ago

Two basketball players average the same number of points per game. What information would be most helpful in determining which p

Alenkasestr [34]

Answer:

The number of games each player has played

Step-by-step explanation:

Generally to measure variability, we use the range, the variance, the standard deviation and inter quartile ranges.

Given is that the averages are same, this implies that the mean of the two data sets are same. Variability can also be measured by the total number of points each player has scored. It can also be determined by the average number of points each player’s team scores per game.

So, correct answer is option B: the number of games each player has played.

7 0

3 years ago

Read 2 more answers

Give the numerical value of the parameter p in the following binomial distribution scenarioA softball pitcher has a 0.721 probab

Igoryamba

Answer:

$P(X>15)= P(X=16)+P(X=17)+P(X=18)+P(X=19)$

$P(X=16)=(19C16)(0.721)^{16} (1-0.721)^{19-16}=0.112$

$P(X=17)=(19C17)(0.721)^{17} (1-0.721)^{19-17}=0.051$

$P(X=18)=(19C18)(0.721)^{18} (1-0.721)^{19-18}=0.015$

$P(X=19)=(19C19)(0.721)^{19} (1-0.721)^{19-19}=0.002$

And replacing we got:

$P(X>15)= P(X=16)+P(X=17)+P(X=18)+P(X=19) =0.112+0.051+0.015+0.002= 0.1801$

Step-by-step explanation:

Previous concepts

A Bernoulli trial is "a random experiment with exactly two possible outcomes, "success" and "failure", in which the probability of success is the same every time the experiment is conducted". And this experiment is a particular case of the binomial experiment.

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

The probability mass function for the Binomial distribution is given as:

$P(X)=(nCx)(p)^x (1-p)^{n-x}$