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ahrayia [7]
3 years ago
12

Zoe considers the lunch choices as she looks at the menu. What is the probability that she will choose cheese pizza, apple, milk

?
Meal: Cheese Pizza, Cheeseburger, Hotdog, Salad

Side: Banana, Apple, Yogurt

Beverage: Milk, Water, Juice
Mathematics
2 answers:
Marina CMI [18]3 years ago
8 0

Answer:

1/36

Step-by-step explanation:

Meal: 4 choices

Side: 3 choices

Beverage: 3 choices

Total number of possible combinations: 4 × 3 × 3 = 36

The specific combination of cheese pizza, apple, and milk is 1 of the 36 possible choices.

p(cheese pizza, apple, milk) = 1/36

Karo-lina-s [1.5K]3 years ago
8 0

Answer:

e

Step-by-step explanation:

We first have to find out how many outcomes there are in total. That means finding out how many meals, sides, and beverages there are.

Meals: cheese pizza, cheeseburger, hotdog, and salad (4)

Sides: banana, apple, and yogurt (3)

Beverages: milk, water, and juice (3)

4 x 3 x 3 = 36

There are 36 possible outcomes.

We need to find the probability that Zoe will choose cheese pizza, an apple, and milk. Those are three outcomes.

The probability is 3/36.

The fraction 3/36 can be simplified to 1/12.

uh looking at the other answer that one is probs right

either way, hope this helps?

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Nationally, patients who go to the emergency room wait an average of 7 hours to be admitted into the hospital. Do patients at ru
valina [46]
  1. For this study, we should use t-test and the null and alternative hypotheses would be given by H₀: μ = 7 and H₁: μ < 7.
  2. The test statistic is -1.941 and the p-value (0.0381) is <u>greater than</u> α = 0.01.
  3. Based on this, we should <u>fail to reject</u> the null hypothesis.
  4. Thus, the final conclusion is that the data suggest the population mean is not significantly lower than 7 at α = 0.01, so there is statistically insignificant evidence to conclude that the population mean waiting time to be admitted into the hospital from the emergency room for patients at rural hospitals is equal to 7 hours.

<h3>What is a null hypothesis?</h3>

A null hypothesis (H₀) can be defined the opposite of an alternate hypothesis (H₁) and it asserts that two (2) possibilities are the same.

<h3>How to calculate value of the test statistic?</h3>

The test statistics can be calculated by using this formula:

t=\frac{x\;-\;u}{\frac{\delta}{\sqrt{n} } }

<u>Where:</u>

  • x is the sample mean.
  • u is the mean.
  • is the standard deviation.
  • n is the number of hours.

For this study, we should use t-test and the null and alternative hypotheses would be given by:

H₀: μ = 7

H₁: μ < 7

t=\frac{6.3\;-\;7}{\frac{1.3}{\sqrt{13} } }\\\\t=\frac{-0.7}{\frac{1.3}{3.6056 } }

t = -0.7/0.3606

t = -1.941.

For the p-value, we have:

P-value = P(t < -1.9412)

P-value = 0.0381.

Therefore, the p-value (0.0381) is <u>greater than</u> α = 0.01. Based on this, we should <u>fail to reject</u> the null hypothesis.

Thus, the final conclusion is that the data suggest the population mean is not significantly lower than 7 at α = 0.01, so there is statistically insignificant evidence to conclude that the population mean waiting time to be admitted into the hospital from the emergency room for patients at rural hospitals is equal to 7 hours.

Read more on null hypothesis here: brainly.com/question/14913351

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