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alisha [4.7K]
3 years ago
9

Math workshops and final exams: The college tutoring center staff are considering whether the center should increase the number

of math workshops they offer to help students improve their performance in math classes. Faculty would like to know if requiring student attendance at these math workshops will improve overall passing rates for their students in their math classes. They plan to use the number of workshops attended to predict the final exam score and regression analysis to determine the effectiveness of the mandatory workshop attendance policy. Which is the response variable?
1. Whether the student attended a workshop.
a. yes.
b. no.
2. Number of workshops attended.
3. Whether the student passes the course.
a. yes.
b. no.
4. Final exam score Correlation.
Mathematics
1 answer:
ludmilkaskok [199]3 years ago
3 0

Answer:

2. Number of workshops attended.

Step-by-step explanation:

The variable of interest for predicting the final exam score and doing regression analysis is workshop attendance.  Therefore, the response variable should be the number of workshops attended by each student.

This also agrees with what the college tutoring center staff are considering, which forms the research question: "should the center increase the number of math workshops they offer to help students improve their performance in math classes?"

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The capacity of a syringe is 0.08 liters. Convert this to milliliters.
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Answer:

80 millilitres (mL)

Step-by-step explanation:

Multiply by 1000 because there are 1000 mL in 1 L

8 0
3 years ago
Mario is walking away from a motion detector at a rate of 1.5 feet per second. He started recording his distance from the motion
kipiarov [429]

Answer:

6 seconds

Step-by-step explanation:

Initial distance of Mario from motion detector = 2 ft

Speed of Mario = 1.5 ft/sec

Total distance of Mario from motion detector = 11 ft

Total distance moved by Mario while walking at the rate of 1.5 ft/sec = 11 - 2 = 9 ft

Given that:

Distance = 9 ft

Speed = 1.5 ft/sec

<em>Formula:</em>

Distance = Speed \times Time

\Rightarrow 9 =1.5 \times Time\\\Rightarrow Time = \dfrac{9}{1.5}\\\Rightarrow Time = \bold{6\ sec}

So, at <em>6 seconds</em>, Mario will be 11 ft from the motion detector.

6 0
3 years ago
Please help me with the article help please help me
Anvisha [2.4K]

Answer:

I think it's like this

Article -6

Description: coffee........ gunguli .

who is interested in statistics?

-karen riche at the French National institute of medical research ,whose work appears in journal neurology

who is the audience?

-7000 men's and women's in the three french cities.

what kind of decision one should make after reading this article?

reading the above article I came to acknowledge that women are only benefited as they don't metabolizes coffee in same way as men.so men should take more care and control over their coffee consumption than women.

Description: coffee........ gunguli

(in here write whole sentence I just did in short cut)

8 0
3 years ago
Different dealers may sell the same car for different prices. The sale prices for a particular car are normally distributed with
Stels [109]

Answer:

P(X > 25) = 0.69

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

The sale prices for a particular car are normally distributed with a mean and standard deviation of 26 thousand dollars and 2 thousand dollars, respectively.

This means that \mu = 26, \sigma = 2

Find P(X>25)

This is 1 subtracted by the pvalue of Z when X = 25. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{25 - 26}{2}

Z = -0.5

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So

P(X > 25) = 0.69

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2 years ago
Write an
son4ous [18]

Answer:

sheeesh 69

Step-by-step explanation:

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