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SCORPION-xisa [38]
3 years ago
14

The table below shows data from a survey about the amount of time high school students spent reading and the amount of time spen

t watching videos each week (without reading):
Reading Video
4 4
4 5
5 6
5 8
5 9
6 10
7 11
8 12
8 14
9 25

Which response best describes outliers in these data sets?
Neither data set has suspected outliers.
The range of data is too small to identify outliers.
Video has a suspected outlier in the 25-hour value.
The 25-hour value for video does not pass the outlier test of 1.5 ⋅ (IQR) + Q3.
Mathematics
1 answer:
ira [324]3 years ago
5 0
Video has a suspected outlier in the 25 hr value
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dem82 [27]

Shortest is Vindale to Wildgrove to Clarksville

18.9 + 13.2 = 32.1 km.

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3 years ago
2<br> 8<br> 15<br> 8. An interior designer charges customers<br> an initial consultation fee plus an hourly rate.<br> The table
Wewaii [24]

The rate of change is $55 per hour. The means that the hourly rate of the designer is $55 per hour

<h3>Linear equation</h3>

A linear equation is in the form:

y = mx + b

where y, x are variables, m is the slope of the line and m is the y intercept.

Let y represent the total cost of hiring for x hours. Hence:

  • Using the points (0, 125) and (15, 950)

Slope = \frac{y_2-y_1}{x_2-x_1} =\frac{950-125}{15-0} =55

The rate of change is $55 per hour. The means that the hourly rate of the designer is $55 per hour

Find out more on linear equation at: brainly.com/question/14323743

7 0
2 years ago
Please help with this! :)
olchik [2.2K]

Answer:

4 and 3 <------- That's the set I believe!

3 0
3 years ago
A car is moving at a average speed of 56 hole 3/5 km per hours . How much distance will it cover in 7 hole 1/2 hours?​
vovikov84 [41]

Answer:

3.5km

Step-by-step explanation:

not sure but this is how I'll do it tho

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5 0
3 years ago
a math teacher claims that she has developed a review course that increases the score of students on the math portion of a colle
madam [21]

Answer:

A.

H_0: \mu\leq514\\\\H_1: \mu>514

B. Z=2.255. P=0.01207.

C. Although it is not big difference, it is an improvement that has evidence. The scores are expected to be higher in average than without the review course.

D. P(z>0.94)=0.1736

Step-by-step explanation:

<em>A. state the null and alternative hypotheses.</em>

The null hypothesis states that the review course has no effect, so the scores are still the same. The alternative hypothesis states that the review course increase the score.

H_0: \mu\leq514\\\\H_1: \mu>514

B. test the hypothesis at the a=.10 level of confidence. is a mean math score of 520 significantly higher than 514? find the test statistic, find P-value. is the sample statistic significantly higher?

The test statistic Z can be calculated as

Z=\frac{M-\mu}{s/\sqrt{N}} =\frac{520-514}{119/\sqrt{2000}}=\frac{6}{2.661}=2.255

The P-value of z=2.255 is P=0.01207.

The P-value is smaller than the significance level, so the effect is significant. The null hypothesis is rejected.

Then we can conclude that the score of 520 is significantly higher than 514, in this case, specially because the big sample size.

C.​ do you think that a mean math score of 520 vs 514 will affect the decision of a school admissions adminstrator? in other words does the increase in the score have any practical significance?

Although it is not big difference, it is an improvement that has evidence. The scores are expected to be higher in average than without the review course.

D. test the hypothesis at the a=.10 level of confidence with n=350 students. assume that the sample mean is still 520 and the sample standard deviation is still 119. is a sample mean of 520 significantly more than 514? find test statistic, find p value, is the sample mean statisically significantly higher? what do you conclude about the impact of large samples on the p-value?

In this case, the z-value is

Z=\frac{520-514}{s/\sqrt{n}} =\frac{6}{119/\sqrt{350}} =\frac{6}{6.36} =0.94\\\\P(z>0.94)=0.1736>\alpha

In this case, the P-value is greater than the significance level, so there is no evidence that the review course is increasing the scores.

The sample size gives robustness to the results of the sample. A large sample is more representative of the population than a smaller sample. A little difference, as 520 from 514, but in a big sample leads to a more strong evidence of a change in the mean score.

Large samples give more extreme values of z, so P-values that are smaller and therefore tend to be smaller than the significance level.

8 0
3 years ago
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