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Elodia [21]
3 years ago
10

Is 5 1/2 yds greater than 192 ins?

Mathematics
1 answer:
iren2701 [21]3 years ago
6 0

Answer:

no

Step-by-step explanation:

there is 12 inches in a foot

there are 3 feet in a yard

3 x 12 = 36 in in a yard

36 x 5 1/2 is 198

198 is greater than 192

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Chicago has a temperature of -8°F. Seattle has a temperature colder than Chicago. Select all value that could represent the temp
mihalych1998 [28]

Answer:

-10°F, -13°F, and -21°F

Step-by-step explanation:

we are looking for a temperature that is less than -8

-10°F, -13°F, and -21°F are all less than -8

4 0
3 years ago
How will a high outlier in a data set affect the mean and median?
RUDIKE [14]

Answer:

B. distribution skewed to the right, mean pulled to the right, median not effected

Step-by-step explanation:

When a distribution is skewed to the right, it means that the data is positively skewed or has more positive numbers than negative numbers.

An outlier can affect the mean of a distribution since a high value outlier will make the mean be much higher than the median. In this case, since the distribution is positively skewed, a high outlier will pull the mean to the right (to higher positive values).

5 0
3 years ago
Problem page a family has two cars. the first car has a fuel efficiency of 30 miles per gallon of gas and the second has a fuel
kkurt [141]
You will have 2 equations.
30x+20y=1100
and 
x+y=45
by putting it into standard form
-(30/20)x+55=y 
you can now solve finding the answer to be 20 for x and 25 for y.
Plug it into the original equation to find it correct and then plug it into x+y
20+25=45
30*20+25*20=1100
4 0
3 years ago
Use the sample data and confidence level given below to complete parts​ (a) through​ (d). A drug is used to help prevent blood c
Alla [95]

Answer:

a) \hat p=\frac{148}{4167}=0.036

b) 0.0355 - 1.96\sqrt{\frac{0.036(1-0.036)}{4167}}=0.030

0.0355 + 1.96\sqrt{\frac{0.036(1-0.036)}{4167}}=0.041

Step-by-step explanation:

The sample proportion have the following distribution

\hat p \sim N(p,\sqrt{\frac{p(1-p)}{n}})

Part a

The estimated proportion for this case can be calculated like this:

\hat p=\frac{148}{4167}=0.036

Part b

In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 95% of confidence, our significance level would be given by \alpha=1-0.95=0.05 and \alpha/2 =0.025. And the critical value would be given by:

z_{\alpha/2}=-1.96, z_{1-\alpha/2}=1.96

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

\hat p \pm z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}

Replacing we got:

0.0355 - 1.96\sqrt{\frac{0.036(1-0.036)}{4167}}=0.030

0.0355 + 1.96\sqrt{\frac{0.036(1-0.036)}{4167}}=0.041

8 0
3 years ago
To win a carnival prize you need to choose one of 3 doors labeled 1 through 3. Then you need to choose a red,yellow, or blue box
lesya [120]

Answer:

50/50 chance

Step-by-step explanation:

3 0
3 years ago
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