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Setler [38]
4 years ago
8

The number of males in the United States is measured in the thousands. True or false?

Mathematics
1 answer:
san4es73 [151]4 years ago
7 0

Answer:false

Step-by-step explanation:

It is in the millions.

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Factorise this expression as fully as possible 14t^3 x 6t
kupik [55]
14t^3*6t
= (14*6)*(t^3*t)
= (2*7*2*3)*(t*t*t*t)
= 2*2*3*7*t*t*t*t
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4 years ago
The graph of the piecewise function f(x) is shown.
NeTakaya

Answer:

{f(x) | -∞ < f(x) ≤ 4 }

Step-by-step explanation:

The range is made up of the y values.  Remember f(x) = y

In this graph the least value of y is -∞ and the greatest value of y is 4

So, the range is {f(x) | -∞ < f(x) ≤ 4 } which is the 2nd choice

4 0
3 years ago
9.The perimeter of a rectangle whose length is 7.5cm and breadth 3.75cmRequired to answer. Single choice.​
BabaBlast [244]

Answer:

22.5 cm

Step-by-step explanation:

P = 2( L + W)

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3 0
3 years ago
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Please help me with math please and explain and thanks
lyudmila [28]

Answer:

44

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there are 4 44s in the data set and that is the most repeated so uts the mode

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3 years ago
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Which of the following represents a Type I error for the null and alternative hypotheses H0:μ≤$3,200 and Ha:μ&gt;$3,200, where μ
Nuetrik [128]

Answer:

Option a) Type I error would occur if we reject null hypothesis and conclude that the average amount is greater than $3,200 when in fact the average amount is $3,200 or less.        

Step-by-step explanation:

We are given the following information in the question:

H_{0}: \mu \leq \$3,200\\H_A: \mu > \$3,200

where μ is the average amount of money in a savings account for a person aged 30 to 40.

Type I error:

  • Type I error is also known as a “false positive” and is the error of rejecting a null  hypothesis when it is actually true.
  • In other words, this is the error of accepting an  alternative hypothesis when the results can be  attributed by null hypothesis.
  • A type I error occurs during the hypothesis testing process when a null hypothesis is rejected, even though it is correct and should not be rejected.

Thus, in the above hypothesis type  error will occur when we reject the null hypothesis even when it is true.

Option a) Type I error would occur if we reject null hypothesis and conclude that the average amount is greater than $3,200 when in fact the average amount is $3,200 or less.

3 0
3 years ago
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