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ra1l [238]
3 years ago
13

Of the last 14 contestants on a game show, 7 qualified for the bonus round. Considering this data, how many of the next 10 conte

stants would you expect to qualify for the bonus round?
a. 7/10
b. 3/7
c. 1/2
d. 1/3​
Mathematics
1 answer:
daser333 [38]3 years ago
5 0

Answer:

c. 1/2

Step-by-step explanation:

7 out of 14 contestants did last time, which is 1/2 of the contestants.  You would assume that the same proportion would qualify when there are 10 contestants, so you would assume that 1/2 of 10 would also qualify for the bonus round.

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The diagonals of rhombus team intersect at p(2,1). if the equation of the line that contains diagonal (ta) is y = −x + 3, what i
notka56 [123]
The perpendicular line through (2, 1) is
.. y = (x -2)+1
or
.. y = x -1

6 0
3 years ago
In her last race, bergen swam 1,500 meters in 30 minutes.on average, how many meters did she swim per minutes?
Lelechka [254]
What you will need to do is take 1,500 which is the distance by 30 the speed to get 1500/30 which will get you 50 if you want to check your work divide 1500 by 50 and see if you get 30

Answer : 50 Meters per Minuite
4 0
4 years ago
In a clinical trial of 268 subjects treated with a​ drug, 11​% of the subjects reported dizziness. The margin of error is plus o
Mariulka [41]

Answer:

\hat p =0.11 represent the proportion estimated of subjects reported with dizziness

n = 268 represent the random sample selected

\hat q = 1-\hat p = 1-0.11= 0.89 represent the proportion of subjects No reported with dizziness

E= 0.04 = 4% represent the margin of error for the confidence interval

\alpha= 1-0.90 =0.1 and this value represent the significance level of the test or the probability of error type I

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".  

The population proportion have the following distribution

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

Solution to the problem

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}}

The margin of error is given by:

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

Lower= 0.11-0.04 = 0.07

Upper= 0.11+0.04 = 0.15

And for this case we have the following info:

\hat p =0.11 represent the proportion estimated of subjects reported with dizziness

n = 268 represent the random sample selected

\hat q = 1-\hat p = 1-0.11= 0.89 represent the proportion of subjects No reported with dizziness

E= 0.04 = 4% represent the margin of error for the confidence interval

\alpha= 1-0.90 =0.1 and this value represent the significance level of the test or the probability of error type I

4 0
3 years ago
Any help please thank you I appreciate it
shepuryov [24]

Answer:

114.8 degrees

Step-by-step explanation:

supplementary angles basically means angles equal to 180 degrees

5 0
3 years ago
Manuel wants to calculate how many miles his father’s car travels on one gallon of gas. He knows that on a full 15-gallon tank o
netineya [11]

Answer:

c

Step-by-step explanation:

because the answer

and its proof

6 0
3 years ago
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