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3 years ago

What is 65% of 65? Please help

Mathematics

2 answers:

NARA [144]3 years ago

8 0

I believe the correct answer is 42.25%

Zepler [3.9K]3 years ago

6 0

Answer:

42.25 or 42.3 rounded to the nearest tenth

Step-by-step explanation:

65/100

65= 169/4 = 42.25 or 42.3

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Point C is the Image of C (-4,-2) under a Reflection across the x-axis.

Svetradugi [14.3K]

Step-by-step explanation:

$\text {Reflection Rule for across the X-axis: } (x,y) \rightarrow (x,-y)$

Using the point C (-4,-2) and the refection rule:

$(-4,-2) \rightarrow(-4, 2)$

$\text {C' should be (-4,2)}$

8 0

3 years ago

I need help with this

LiRa [457]

Answer:

X represents The value of players on the field

Step-by-step explanation:

the numbers 0-11 are showing how many people would be on the field should an official game be played

7 0

2 years ago

I need help with a question

postnew [5]

Solution

The range is defined as:

Range = Max - Min

For this case we can conclude that the best solution would be:

B, C

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1 year ago

A oil well is drilled at -175 meters ever 12 hours . How deep is the well after 15 hours of constant work. Numeric answers only

NikAS [45]

Answer:

-37.5 m

Step-by-step explanation:

If we assume that "one full day" is 24 hours, then 15 hours represents the fraction 15/24 of a day. Since the drilling rate was constant, and was presumed to start from a height of 0, the height after 15 hours is that fraction of the day's work:

... (15/24)×(-60 m) = -37.5 m

6 0

3 years ago

Read 2 more answers

A manufacturer produces light bulbs that have a mean life of at least 500 hours when the production process is working properly.

denpristay [2]

Answer:

We conclude that the population mean light bulb life is at least 500 hours at the significance level of 0.01.

Step-by-step explanation:

We are given that a manufacturer produces light bulbs that have a mean life of at least 500 hours when the production process is working properly. The population standard deviation is 50 hours and the light bulb life is normally distributed.

You select a sample of 100 light bulbs and find mean bulb life is 490 hours.

Let $\mu$ = population mean light bulb life.

So, Null Hypothesis, $H_0$ : $\mu \geq$ 500 hours {means that the population mean light bulb life is at least 500 hours}

Alternate Hypothesis, $H_A$ : $\mu$ < 500 hours {means that the population mean light bulb life is below 500 hours}

The test statistics that would be used here One-sample z test statistics as we know about the population standard deviation;

T.S. = $\frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }$ ~ N(0,1)

where, $\bar X$ = sample mean bulb life = 490 hours

σ = population standard deviation = 50 hours

n = sample of light bulbs = 100

So, the test statistics = $\frac{490-500}{\frac{50}{\sqrt{100} } }$

= -2

The value of z test statistics is -2.

Now, at 0.01 significance level the z table gives critical value of -2.33 for left-tailed test.

Since our test statistic is higher than the critical value of z as -2 > -2.33, so we have insufficient evidence to reject our null hypothesis as it will not fall in the rejection region due to which we fail to reject our null hypothesis.

Therefore, we conclude that the population mean light bulb life is at least 500 hours.

7 0

3 years ago