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REY [17]
3 years ago
15

What is this answer

Mathematics
1 answer:
Nina [5.8K]3 years ago
6 0
I think it’s the second one
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A pitcher of iced tea holds 128 ounces. A large orange cooler holds 1792 ounces of iced tea. How many pitchers of iced tea will
Marysya12 [62]

Answer:

C

Step-by-step explanation:

Ounces held by cooler devide by ounces held by a pitcher since we want to find how many pitchers goes to the cooler

8 0
2 years ago
The state education commission wants to estimate the fraction of tenth grade students that have reading skills at or below the e
gizmo_the_mogwai [7]

Answer:

The large sample n = 1713.96

Step-by-step explanation:

<u>Explanation</u>:-

given the population proportion was estimated to be 0.22

population proportion (P) = 0.22

The 95 % level of significance = 1.96≅ 2

The margin of  error = 0.02

The formula of margin error

                                   \frac{2\sqrt{p(1-p)} }{\sqrt{n} } = 0.02    …  ( i )

Substitute 'p' values in equation (1)

\frac{2\sqrt{0.22(1-0.22)} }{\sqrt{n} } = 0.02

cross multiplication and simplification, we get

2X0.414= 0.02 \sqrt{n}

\frac{2X0.414}{0.02} = \sqrt{n}

41.4 = \sqrt{n}

squaring on both sides, we get

the large sample n = 1713.96

7 0
3 years ago
A rectangle has a length of 9.00 inches and a width of 4.25 inches. What is the area in square inches? Round to the correct sign
ale4655 [162]
Area of rectangle = length x breadth
= 9 x 4.25
= 38.25
= 38 sq. inches (After rounding)
Hope this helps you!
5 0
3 years ago
3 units right and 4 units down graph
Norma-Jean [14]
(x+3,y-4) would be the translation of the ordered pairs
8 0
3 years ago
A researcher decides to set the significance level to 0.10. If the null hypothesis is true, what is the probability of a Type I
MakcuM [25]

Answer:

the probability of a Type I error is 0.10

Step-by-step explanation:

  Given the data in the question;

significance level ∝ = 0.10

Null H₀ hypothesis is true;

the probability of a Type I error = ?

we know that; a type 1 error is the error of rejecting a Null hypothesis when in reality, it is true. That is false positive.

Hence, our type 1 error will be;

P(rejecting null | null true ) = significance level ∝ = 0.10

Therefore, the probability of a Type I error is 0.10

3 0
3 years ago
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