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zlopas [31]
3 years ago
10

Aiden has two toy cars that measure two and one fourth inches, three that measure two three eight inches, one that measures two

and seven eights inches, one that measures 2 and one eights inches, and one that measures two and three fourths inches. How long is aidens longest toy car.
Mathematics
1 answer:
Westkost [7]3 years ago
8 0

Answer:

So, the longest toy car length is 2\frac{7}{8}inches

Step-by-step explanation:

Given - Aiden has two toy cars that measure two and one fourth inches,

            three that measure two three eight inches, one that measures two

            and seven eights inches, one that measures 2 and one eights

            inches, and one that measures two and three fourths inches.

To find - How long is Aiden's longest toy car.

Proof -

Measure of 1st car - 2 inches

Measure of 2nd car - \frac{1}{4} inches = 0.25 inches

Measure of 3rd car - 2\frac{3}{8} inches = 2.375 inches

Measure of 4th car - 2\frac{7}{8}inches = 2.875 inches

Measure of 5th car - 2\frac{1}{8}inches = 2.125 inches

Measure of 6th car - 2\frac{3}{4}inches = 2.75 inches

So, the longest toy car length is 2\frac{7}{8}inches (2.875 inches )

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Write a two-column proof. Given: <2 is congruent to <5; Segment AB is congruent to Segment DE Prove: Segment BC is congrue
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proof

Step-by-step explanation:

Statements

Reasons

<2 is congruent to <5; Segment AB is congruent to Segment DE

Given

<3≅<4

Vertical angle theorem

ΔCDB≅ΔCAE

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3 years ago
Suppose a baker claims that the average bread height is more than 15cm. Several of this customers do not believe him. To persuad
laila [671]

Answer:

17-2.262\frac{1.9}{\sqrt{10}}=15.641    

17+2.262\frac{1.9}{\sqrt{10}}=18.359    

So on this case the 95% confidence interval would be given by (15.641;18.359)    

And since the lower limit for the confidence interval is higher than 15 we can conclude that at 5% of significance the true mean is higher than 15 cm

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

\bar X=17 represent the sample mean

\mu population mean (variable of interest)

s=1.9 represent the sample standard deviation

n=10 represent the sample size  

Confidence interval

The confidence interval for the mean is given by the following formula:

\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}   (1)

In order to calculate the critical value t_{\alpha/2} we need to find first the degrees of freedom, given by:

df=n-1=10-1=9

Since the Confidence is 0.95 or 95%, the value of \alpha=0.05 and \alpha/2 =0.025, and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-T.INV(0.025,9)".And we see that t_{\alpha/2}=2.262

Now we have everything in order to replace into formula (1):

17-2.262\frac{1.9}{\sqrt{10}}=15.641    

17+2.262\frac{1.9}{\sqrt{10}}=18.359    

So on this case the 95% confidence interval would be given by (15.641;18.359)    

And since the lower limit for the confidence interval is higher than 15 we can conclude that at 5% of significance the true mean is higher than 15 cm

4 0
3 years ago
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