Can someone help please !! giving brainlist to anyone who answers

Sati [7]

Answer: A Yes, because the balls are randomly selected, the distances of the new ball can be compared to the distances of the original ball.

B Yes, because the original ball type is included in this experiment, the distances the different balls travel can be accurately compared.

Step-by-step explanation:

C No, because a placebo ball was not used, a comparison cannot be made to determine if the new ball travels significantly farther.

D No, because all of the new type of balls are not hit first, the distances they travel cannot be compared to the distances of the original ball.

3 0

1 year ago

The manager of a dress shop recorded the number of dresses sold during the week the data is as follows

Rashid [163]

2.6925 is the mean/ avg you add all the numbers and divide by the amount of numbers you added

5 0

3 years ago

2.10 Guessing on an exam: In a multiple choice exam, there are 6 questions and 4 choices for each question (a, b, c, d). Nancy h

ololo11 [35]

Answer:

a) $p = (3/4)^5 *(1/4) =0.0593$

b) $P(X=6) = (6C6) (0.25)^6 (1-0.25)^{6-6}= 0.000244$

c) $P(X \geq 1)$

And we can use the complement rule like this:

$P(X \geq 1) = 1-P(X$

$P(X=0) = (6C0) (0.25)^0 (1-0.25)^{6-0}= 0.17798$

And replacing we have:

$P(X \geq 1) = 1-P(X$

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:

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

Where (nCx) means combinatory and it's given by this formula:

$nCx=\frac{n!}{(n-x)! x!}$

The complement rule is a theorem that provides a connection between the probability of an event and the probability of the complement of the event. Lat A the event of interest and A' the complement. The rule is defined by: $P(A)+P(A') =1$

We can model the number of correct questions answered with a binomial distribution $X \sim Binom(n = 6, p = 1/4=0.25)$

Solution to the problem

Assuming the following questions:

a) the first question she gets right is the 6th question?

For this case we want the first 5 questions incorrect and the last one correct, assuming independence we have:

$p = (3/4)^5 *(1/4) =0.0593$

(b) she gets all of the questions right?

For this case we want all the questions right so then we want this:

$P(X=6) = (6C6) (0.25)^6 (1-0.25)^{6-6}= 0.000244$

(c) she gets at least one question right?

For this case we want this probability:

$P(X \geq 1)$

And we can use the complement rule like this:

$P(X \geq 1) = 1-P(X$

$P(X=0) = (6C0) (0.25)^0 (1-0.25)^{6-0}= 0.17798$

And replacing we have:

$P(X \geq 1) = 1-P(X$

7 0

2 years ago

Yall still in school? i ended may 27th hbu?

juin [17]

Answer:

mine ended june 9th but i got summer school for 2 classes lol

7 0

3 years ago

Read 2 more answers

Round the number to the place indicated.<br> Round to the nearest tenth: 1.4511

Evgen [1.6K]

1.500 since 45 rounds to 50

8 0

3 years ago