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Ilya
1 month ago
5

After constructing a confidence interval estimate for a population mean, you believe that the interval is useless because it is

too wide. In order to correct this problem, you need to: a. increase the sample size b. increase the sample mean c. increase the confidence coefficient d. decrease the sample size e. increase the population size
Mathematics
1 answer:
tester [12.3K]1 month ago
8 0
To reduce the width of a confidence interval, you should increase the sample size. Step-by-step explanation: The width of a confidence interval is determined by multiplying the margin of error by two. This margin of error is influenced by the standard deviation of the population, the sample size (n), and the z-value associated with the confidence level—higher confidence levels correspond to larger z-values. The only factor directly proportional to the margin of error is the sample size, suggesting that increasing the sample size will effectively narrow the width of the margin.
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Svet_ta [12734]
I estimate that a total of 50 students participated in the survey

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6 0
2 months ago
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Which describes how to graph h (x) = negative RootIndex StartRoot x + 8 EndRoot by transforming the parent function?
Leona [12618]

Solution:

Reflect the parent function across the x-axis and then shift it 8 units left.

Step-by-step clarification:

The function in question is

y = - \sqrt{x + 8}

The parent function can be described as

y = \sqrt{x}

Due to the negative multiplier applied to the transformed function, a reflection occurs along the x-axis.

As the value 8 is added within the square root, it indicates a horizontal shift of 8 units left.

Therefore, to accurately graph the given function, reflect the parent function over the x-axis and translate it to the left by 8 units.

5 0
2 months ago
The life expectancy of a particular brand of tire is normally distributed with a mean of 40,000 and a standard deviation of 5,00
Svet_ta [12734]

Answer: the likelihood of a randomly selected tire lasting exactly 47,500 miles is 0.067

Step-by-step explanation:

Since the expected lifespan of this tire brand follows a normal distribution, we will use the normal distribution formula:

z = (x - µ)/σ

Where

x = lifespan of the tire in miles.

µ = mean

σ = standard deviation

The given figures include,

µ = 40000 miles

σ = 5000 miles

The probability that a tire will last precisely 47,500 miles

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For x = 47500,

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6 0
2 months ago
Which graph represents the function f(x) = (x – 5)2 + 3?
Inessa [12570]
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4 0
3 months ago
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Svet_ta [12734]

Answer:

Step-by-step explanation:

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Each pizza consists of 8 slices

Therefore, the total number of slices she can buy = 3.75 × 8

= 30 slices

5 0
3 months ago
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