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3 years ago

Jake tossed a paper cup 50 times and recorded how it landed. The table shows the results:

1 answer:

8 0

Hello!

Here are 6 steps to Help You Out!

1. 3 divided by 50 = .06

2. Then if you like you can turn it in to a percent not sure how the answer is supposed to look for example:

3. 3/50=6/100=6%

4. 7 divided by 50 - .14

5. so 0.06 for the first one

6. And 40 divided by 50 = .8

====>So as we can see, open side up .06 closed side up .14 and on its side .8 or open 6% closed 14% and side 80% chance.<====

Hope this Helps! Have A WONDERFUL Day! :)

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Restaurateur Denny Valentine is evaluating two sites, Raymondville and Rosenberg, for his next restaurant. He wants to prove tha

Aleksandr-060686 [28]

Answer:

$\bar X_1$ represent the sample for the sample 1

$\bar X_2$ represent the sample for the sample 2

$s_1$ represent the deviation for the sample 1

$s_2$ represent the deviation for the sample 2

$n_1 = 81$ represent the sample size for the group 1

$n_2 = 81$ represent the sample size for the group 2

And on this case if we create the system of hypothesis we have this:

Null hypothesis : $\mu_1 -\mu_2 \leq 0$

Alternative hypothesis: $\mu_1 -\mu_2 >0$

Step-by-step explanation:

Previous concepts

A hypothesis is defined as "a speculation or theory based on insufficient evidence that lends itself to further testing and experimentation. With further testing, a hypothesis can usually be proven true or false".

The null hypothesis is defined as "a hypothesis that says there is no statistical significance between the two variables in the hypothesis. It is the hypothesis that the researcher is trying to disprove".

The alternative hypothesis is "just the inverse, or opposite, of the null hypothesis. It is the hypothesis that researcher is trying to prove".

On this caseHe wants to prove that Raymondville residents (population 1) dine out more often than Rosenberg residents (population 2). So this statement need to be on the alternative hypothesis. And the complement of the alternative hypothesis would be on the null hypothesis.

Solution to the problem

We assume that we have the following statistics:

$\bar X_1$ represent the sample for the sample 1

$\bar X_2$ represent the sample for the sample 2

$s_1$ represent the deviation for the sample 1

$s_2$ represent the deviation for the sample 2

$n_1 = 81$ represent the sample size for the group 1

$n_2 = 81$ represent the sample size for the group 2

And on this case if we create the system of hypothesis we have this:

Null hypothesis : $\mu_1 -\mu_2 \leq 0$

Alternative hypothesis: $\mu_1 -\mu_2 >0$

5 0

4 years ago

A function has the function rule y = -7 x - 2. If the input is -4, what is the output? 26 -30 -26 14

GaryK [48]

Answer:

Step-by-step explanation:

Since the input is -4, x = -4. The equation then is y = -7(-4) -2

A negative times a negative is a positive, so -7 times -4 is 28.

Now the equation reads y = 28 - 2

Then obviously you just subtract the two and then you get 26.

5 0

3 years ago

Read 2 more answers

Dr. Yancy conducted a correlation study in which she found that the more time children in her study read at home the better they

anzhelika [568]

Answer:

A. Positive

Step-by-step explanation:

They ask us about the relationship between reading and grades.

First you have to go to the first part of the statement that says:

"Dr. Yancy conducted a correlation study in which she found that the more time children in her study read at home the better they performed in school"

In this case they tell us that there is a positive correlation, that the more you read the better your performance in school is.

Performance is your grades, and home study can be reading, so the score is positive in the second half, too.

3 0

3 years ago

Which trigonometric ratio represents Sine (sin)?

saul85 [17]

the hypotenuse (cos = adj/hyp).
the hypotenuse (sin = opp/hyp).
the hypotenuse (tan = opp/adj).

hope this helps........

7 0

3 years ago

The chi-square test statistic is χ2 = 18.68 and the P-value is between 0.0025 and 0.005. What conclusion should the researcher m

diamong [38]

We don't know what the exact p-value is, but we are told that it's as large as 0.005 which is smaller than alpha = 0.05

Since the p-value is smaller than alpha, this means we reject the null hypothesis.

The way you can remember this is "if the p-value is low, then the null must go". By "low", I mean "smaller than alpha".

Recall that the p-value is the probability of observing that specific test statistic, or larger. So the chances of chi-squared being 18.68 or larger is a probability between 0.0025 and 0.005; there's a very small chance of this happening. The p-value is based entirely on the assumption that the null is correct. But if the null is correct, then the chances of landing on this are very small. We have a contradiction that basically leads to us concluding the null must not be the case. It's not 100% guaranteed of course, but it's fairly strong evidence.

In short, the p-value being smaller than alpha = 0.05 means we reject the null.

In order to accept the null, the p-value must be 0.05 or larger.

5 0

3 years ago