For each of the following statements, identify the number that appears in boldface type as the value of either a population characteristic or a statistic.
(a) A department store reports that 83% of all customers who use the store's credit plan pay their bills on time.
Population characteristic
Statistic
(b) A sample of 100 students at a large university had a mean age of 24.3 years.
Population characteristic
Statistic

The amount of money saved by Kaitlin is $6.

We have,

Cost of Game= $12

Amount Kaitlin saved= 1/2 of total money

So, She saved

= 12 x 1/2

= 12 x 1/2

= 6 x 1

= $6

Thus, Kaitlin saved $6.

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The option that is a valid claim is:

The number of milk chocolate pieces is between 115 and 120 pieces.

The correct option is the last option.

From the question, we are to determine the valid option about the claim.

From the given information,

A sample of chocolate from the local candy shop contained 17 milk chocolate pieces out of a sample of 50. An entire batch of chocolate contains 350 pieces

To determine the option about the population that is valid claim, we will determine the number of milk chocolate in an entire batch.

We know that

17 are milk chocolate out of a sample of 50.

Let the number of milk chocolate in an entire batch be x.

If there 17 milk chocolate out of 50 samples

Then,

There will be x chocolate out 350 samples

50 × x = 350 × 17

x = (350 × 17)/ 50

x = 119

Thus,

The 119 milk chocolates in an entire batch

The valid claim is:

The number of milk chocolate pieces is between 115 and 120 pieces.

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To copy segment AB, D, The distance between points A and B needs to be identified for the construction.

A segment is a section of a line that is bounded by two unique ends and contains every point on the line between them. A segment is designated after its endpoints, therefore segment AB refers to the section of the line connecting points A and B.

To copy segment AB can be accomplished by utilizing a measuring instrument such as a ruler or tape measure to determine the distance between the two spots. Once the distance is determined, a new point that is the same distance away from point A as point B can be produced.

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Answer: I would say B srry if I'm  wrong

Step-by-step explanation:

To find the volume of the prism, we need to multiply the area of the base by the height. The base of the prism is made up of 6 cubes arranged in a rectangle, so its area is:

Base area = length x width Length = 2 cubes = 1 foot Width = 3 cubes = 1.5 feet Base area = 1 x 1.5 = 1.5 square feet

The height of the prism is also equal to one cube, which is 1/2 feet.

Therefore, the volume of the prism can be calculated as follows:

Volume = Base area x Height Volume = (1.5 square feet) x (0.5 feet) Volume = 0.75 cubic feet

We can estimate that the underlying normal distribution from which the data was generated has a mean of 3 and a standard deviation of 1.

To estimate the mean and standard deviation of the underlying normal distribution from the given data using the probability plot method, we need to first create a probability plot of the data.

After creating the probability plot, we can visually inspect it to see if the data points fall on a straight line. If the data points fall on a straight line, then we can assume that the data is normally distributed. We can then use the slope of the line to estimate the standard deviation and the intercept of the line to estimate the mean.

Using the given data, we can create a probability plot as follows:

- First, we need to order the data from smallest to largest:
-3.58 -1.83 0.27 1.23 1.25 1.36 2.33 2.49 2.88 3.04 3.19 3.67 3.73 4.33 4.38 4.72 4.99 5.40 5.52 7.42

- Next, we need to calculate the percentiles for each data point:
0.5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% 95% 99.5%

- We can then plot the percentiles on the y-axis and the ordered data on the x-axis.

After creating the probability plot, we can see that the data points fall approximately on a straight line. This suggests that the data is normally distributed. We can then estimate the mean and standard deviation of the underlying normal distribution as follows:

- The slope of the line is approximately 1, which suggests that the standard deviation of the underlying normal distribution is approximately 1.
- The intercept of the line is approximately 3, which suggests that the mean of the underlying normal distribution is approximately 3.

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Answer:

The estimated proportion of Americans over 45 who smoke is 0.239 or 239/1000.

Step-by-step explanation:

To estimate the proportion of Americans over 45 who smoke, we need to calculate the fraction of the sample who smoke.

The number of people who don't smoke is 631, so the number of people who smoke is:

830 - 631 = 199

Therefore, the fraction of Americans over 45 who smoke is:

199/830 = 0.239 (rounded to three decimal places)

So, the estimated proportion of Americans over 45 who smoke is 0.239 or 239/1000.

To estimate the proportion of Americans over 45 who smoke, we first need to find the number of people in the sample who do smoke. We can do this by subtracting the number of people who don't smoke from the total sample size:
Therefore, we estimate that approximately 0.240 or 24.0% of Americans over 45 smoke.

Step 1: To estimate the proportion of Americans over 45 who smoke, we first need to find out how many people in the sample do smoke. Since we have a sample of 830 Americans and 631 don't smoke, we can subtract the non-smokers from the total sample to find the number of smokers.

830 (total) - 631 (non-smokers) = 199 (smokers)

Step 2: Now, we can calculate the proportion of smokers in the sample by dividing the number of smokers (199) by the total number of people in the sample (830).

199 (smokers) / 830 (total) = 0.2398 (rounded to four decimal places)

As a fraction, this would be approximately 240/1000, which can be simplified to 12/50.

So, the estimated proportion of Americans over 45 who smoke based on the given data is 0.240 or 12/50.

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Answer: independent = p, dependent = c

Step-by-step explanation: the number of copies Tristan makes, or c, depends (is DEPENDENT) on the number of people who plan to attend, which is INDEPENDENT on the amount of copies

the number of copies is a reaction (DEPENDS) on the amount of people, not the other way around.

To find the value of x, we need to follow these steps:

1. Calculate the total sum of the ages of the 6 cars.
2. Subtract the sum of the known ages from the total sum.
3. The result will be the value of x.

Step 1: Since the average age of the 6 cars is 7 years, we multiply the average (7) by the number of cars (6) to find the total sum of ages.
Total sum of ages = 7 * 6 = 42 years

Step 2: Subtract the sum of the known ages (6, 14, 5, 1, and 8) from the total sum.
Sum of known ages = 6 + 14 + 5 + 1 + 8 = 34 years
42 (total sum of ages) - 34 (sum of known ages) = 8

Step 3: The result is the value of x.
x = 8

So the value of x is 8.

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Answer:

Step-by-step explanation:

To calculate how much Gloria will pay over 30 years for her $70,000 mortgage at 7.5%, we need to use the formula for a standard mortgage payment, which is:

P = L[c(1 + c)^n]/[(1 + c)^n - 1]

Where:

P = the monthly payment

L = the loan amount

c = the monthly interest rate (annual interest rate divided by 12)

n = the total number of payments (30 years multiplied by 12 months per year)

First, we need to calculate the monthly interest rate:

c = 7.5% / 12 = 0.00625

Next, we need to calculate the total number of payments:

n = 30 years x 12 months per year = 360

Now we can plug in these values to the formula:

P = 70000[0.00625(1 + 0.00625)^360]/[(1 + 0.00625)^360 - 1]

P = $493.95

Therefore, Gloria will pay $493.95 per month for 30 years for her $70,000 mortgage at 7.5%. Over the course of the 30 years, she will pay a total of:

Total Payments = P x n = $493.95 x 360 = $177,822

So, Gloria will pay a total of $177,822 over 30 years for her $70,000 mortgage at 7.5%.

Answer:

• 32 inches by 40 inches

Step-by-step explanation:

4:1 means that 4 inches on the actual painting, is 1 inch on the scaled painting.

4:1

8 by 10 inches

8 x 4 = 32 inches

10 x 4 = 40 inches

Can I please have brainly so I can level up? :)

32 inches by 40 inches,

just answering to help the other dude the brainliest

It would take (6π/5) seconds to bend a straight wire into a circle of radius 6 using a machine that bends wire at a rate of 10 unit(s) of curvature per second.

To calculate the time it takes to bend a straight wire into a circle of radius 6 using a machine that bends wire at a rate of 10 unit(s) of curvature per second, we need to find the length of the wire and then divide it by the rate of curvature.

The circumference of a circle with a radius of 6 is 2πr = 2π(6) = 12π. Therefore, the length of the wire that needs to be bent is 2πr = 12π.

Now we can calculate the time it takes to bend the wire by dividing the length by the rate of curvature:

Time = length of wire / rate of curvature = (12π units) / (10 units/second)

Simplifying, we get:

Time = (6π/5) seconds

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The hypothesis test is:
H0: p = 0.224 (the percentage of children who develop asthma is the same in the other country)
Ha: p < 0.224 (the percentage of children who develop asthma is lower in the other country)

The sample proportion is:
p = 71/342 = 0.2076

The standard error is:
SE = sqrt[(0.224)(1-0.224)/342] = 0.0225

The test statistic is:
z = (0.2076 - 0.224) / 0.0225 = -0.7467

The p-value for this one-tailed test is:
p-value = P(z < -0.7467) = 0.2254

Therefore, the test statistic, z = -0.7467 and the p-value = 0.2254.
In this hypothesis test, we are comparing the proportion of children with asthma in another country to the proportion in the US (22.4%). Let's set up our null and alternative hypotheses:

H0: p = 0.224 (proportion of children with asthma in the other country is the same as in the US)
Ha: p < 0.224 (proportion of children with asthma in the other country is lower than in the US)

Now, we can calculate the test statistic (z) and p-value using the provided data:

n = 342 (sample size)
x = 71 (number of children with asthma)
p-hat = x/n = 71/342 = 0.2076 (sample proportion)

We also need the standard error (SE) for the sample proportion:
SE = sqrt((p0 * (1 - p0)) / n) = sqrt((0.224 * (1 - 0.224)) / 342) = 0.0260

Now, calculate the z-score:
z = (p-hat - p0) / SE = (0.2076 - 0.224) / 0.0260 = -0.6285 (rounded to four decimal places)

Next, find the p-value by looking up the z-score in a standard normal table or using a calculator:
p-value = P(Z < -0.6285) ≈ 0.2647 (rounded to four decimal places)

So, the test statistic z = -0.6285, and the p-value = 0.2647.

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From Week 3 to Week 5, Gym A membership increases at a rate of 32 people per week,  and Gym B membership increases at a rate of 34 people per week. So, Gym B is growing faster.

The average rate of change of a function is given by the change in the output of the function divided by the change in the input of the function. Hence we must identify the change in the output, the change in the input, and then divide then to obtain the average rate of change.

From Week 3 to Week 5, the change in the input is given as follows:

5 - 3 = 2.

From the table for Gym A and graph for Gym B, the change in the output for each gym is given as follows:

Hence the rates are given as follows:

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Answer:

The answer is 59 units

Step-by-step explanation:

area of sector =0/360×pir²

A=56/360×22/7×11²

A=149072/2520

A=59units

For a one-tailed test with a 0.05 level of significance, the critical z statistic is 1.645, but the critical t statistic is 1.96. The statement is false.

The statement is incorrect. For a one-tailed test with a 0.05 level of significance, the critical z statistic is indeed 1.645. However, the critical t statistic value depends on the degrees of freedom (df), which is not provided in the statement. The 1.96 value mentioned is actually the critical z statistic for a two-tailed test with a 0.05 level of significance.

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To compute px(x), we sum the joint probabilities over all possible values of y:

px(x) = Σp(x,y) for all y

Substituting the given values for p(x,y):

px(x) = Σd/[(n(n+1))/2] for y=1 to x

px(x) = xd/[(n(n+1))/2]

To compute py(y), we sum the joint probabilities over all possible values of x:

py(y) = Σp(x,y) for all x

Substituting the given values for p(x,y):

py(y) = Σd/[(n(n+1))/2] for x=y to n

py(y) = (n-y+1)d/[(n(n+1))/2]

To determine whether x and y are independent, we compare the product of the marginal probabilities to the joint probability:

If px(x)*py(y) = p(x,y), then x and y are independent.

Substituting the computed values for px(x) and py(y):

px(x)*py(y) = [xd/[(n(n+1))/2]]*[(n-y+1)d/[(n(n+1))/2]]

px(x)*py(y) = (xd/n)*(n-y+1)/n

px(x)*py(y) = xd(n-y+1)/n^2

Comparing to the given value for p(x,y):

p(x,y) = d/[(n(n+1))/2]

We see that px(x)*py(y) is not equal to p(x,y) in general. Therefore, x and y are not independent.

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Using the relative frequency we can estimate that 1355 people will preffer mustard.

To find this estimation, we need to find the relative frequency of people that preffers mustard.

To get this, take the quotient between the people that preffers mustard (27) and the total number of people surveyed (150)

It gives:

F = 27/150

Now multiply the total number of people in the game by that number:

N = 7,525*27/150 = 1354.5

Rounding we get 1355

So the correct option is the first one.

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Answer:

B

Step-by-step explanation: its 3,010. EZ

If your data set is left-skewed, then your mean will be less than your median.

In a left-skewed distribution, the tail of the distribution is longer on the left-hand side, which means that there are some extreme low values that pull the mean towards the left. On the other hand, the median is not affected as much by extreme values, since it only depends on the middle value(s) of the data set. Therefore, in a left-skewed distribution, the median is usually greater than the mean.

The graphical representation that would be most appropriate for the data, given the number of different breakfast cereals sold, is,

B. Histogram, because there is a large set of data.

Since, We know that;

Histograms are used for large sets of data because they provide a visual representation of the distribution of the data. They are particularly useful for understanding the distribution of continuous variables, such as measurements or time series data.

One of the main advantages of histograms is that they allow for easy comparison of large sets of data. The use of bars to represent the data makes it easy to see the overall shape of the distribution and identify patterns or outliers. Additionally, histograms can be used to compare multiple sets of data at once, allowing for easy comparison of different groups or changes over time.

Another advantage of histograms is that they can be used to identify the underlying probability distribution of a dataset, which is useful for statistical analysis and modeling.

This is why, given the fact that the data contains information from 1, 000 different cereals, a histogram is best to show this as the data is large.

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Step-by-step explanation:

Volume = area of end   x   height

            = pi r^2   x 8

           = pi  2^2 * 8    = 32 pi  units^3    <====exact answer

John Doe was killed approximately 4.06 hours ago.

To determine the time of death for John Doe, we will use the given formula: [tex]T = T0 + (T1 - T0)(0.97)^t[/tex],[/tex]where T is the body temperature at time t, T0 is the air temperature (74°F), and T1 is the body temperature at the time of death (93°F).

We are trying to find the time (t) when John Doe's body temperature was 98.6°F (normal body temperature). So, we'll set T equal to 98.6°F and solve for t:

[tex]98.6 = 74 + (93 - 74)(0.97)^t[/tex]

To solve for t, follow these steps:

1. Subtract 74 from both sides:
[tex]24.6 = 19(0.97)^t[/tex]

2. Divide by 19:
[tex]1.2947 ≈ (0.97)^t[/tex]

3. Take the natural logarithm of both sides:
ln(1.2947) ≈ [tex]ln((0.97)^t)[/tex]

4. Apply the logarithm power rule:
ln(1.2947) ≈ t * ln(0.97)

5. Divide by ln(0.97):
t ≈ ln(1.2947) / ln(0.97)

6. Calculate t:
t ≈ 4.06

So, John Doe was killed approximately 4.06 hours ago.

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The answer is (3) 0.

For the first integral, we have:

I = ∭W x^2 + y^2 dV

Using cylindrical coordinates, we have:

x = r cos(theta)

y = r sin(theta)

z = z

where 0 <= r <= 5, 0 <= theta <= 2pi, and -5 <= z <= 1.

Also, dV = r dz dr d(theta)

Substituting these into the integral, we have:

I = ∭W r^2 dV

= ∫(0 to 2pi) ∫(0 to 5) ∫(-5 to 1) r^2 (r dz dr d(theta)) dz dr d(theta)

= ∫(0 to 2pi) ∫(0 to 5) [(r^4/4)(1 - (-5))] dr d(theta)

= ∫(0 to 2pi) ∫(0 to 5) (13r^4/4) dr d(theta)

= ∫(0 to 2pi) [(13/20)r^5] from 0 to 5 d(theta)

= ∫(0 to 2pi) (13/20)(5^5) d(theta)

= (13/20)(3125)(2pi)

= 112pi

Therefore, the answer is (1) 112π.

For the second integral, we have:

I = ∭W y dV

Using cylindrical coordinates, we have:

x = r cos(theta)

y = r sin(theta)

z = z

where 2 <= r <= 4, 0 <= theta <= 2pi, and 0 <= z <= x+6.

Also, dV = r dz dr d(theta)

Substituting these into the integral, we have:

I = ∭W y dV

= ∫(0 to 2pi) ∫(2 to 4) ∫(0 to r cos(theta)+6) r sin(theta) (r dz dr d(theta)) dz dr d(theta)

= ∫(0 to 2pi) ∫(2 to 4) [(r^3 sin(theta)/3)(r cos(theta)+6)] dr d(theta)

= ∫(0 to 2pi) ∫(2 to 4) [(r^4/3) cos(theta) + 2r^3/3] sin(theta) dr d(theta)

= ∫(0 to 2pi) [(4^4/3 - 2^4/3)(cos(theta)/4) + 2(4^3/3 - 2^3/3)/3] sin(theta) d(theta)

= ∫(0 to 2pi) [(16/3)(cos(theta)/4) + (32/3)] sin(theta) d(theta)

= 0

Therefore, the answer is (3) 0.

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For a sum of $20709, prize is of either $100 or $25, there will be 15 prizes of $100 and 48 prizes of $25.

Let's assume that x prizes are given for $100 and y prizes are given for $25. Then, we can set up a system of two equations based on the given information,

x + y = 63 (the total number of prizes is 63)

100x + 25y = 2709 (the total value of the prizes is $2709)

We can solve this system of equations by substitution or elimination. Here, we will use the elimination method, multiplying the first equation by 25, we get,

25x + 25y = 1575

75x = 1134

Dividing both sides by 75, we get,

x = 15.12

Since we cannot have a fractional number of prizes, we can round this down to 15 (because it is closer to 15 than to 16).

Substituting x = 15 in the first equation, we get,

15 + y = 63

Solving for y, we get,

y = 48

Therefore, 15 prizes are given for $100 and 48 prizes are given for $25.

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Using a table or calculator, we find that the area between z = -1.67 and z = -0.33 is approximately 0.3121 or 31.21%. Therefore, approximately 31.21% of plants in this region are between 10 and 14 inches tall.

we will use the concepts of standard, percentage, and deviation. We know that the mean height (µ) of plants is 15 inches and the standard deviation (σ) is 3 inches. We want to find the percentage of plants with heights between 10 and 14 inches.

Step 1: Calculate the z-scores for 10 and 14 inches.
z = (X - µ) / σ

For X = 10 inches:
z1 = (10 - 15) / 3 = -5/3 ≈ -1.67

For X = 14 inches:
z2 = (14 - 15) / 3 = -1/3 ≈ -0.33

Step 2: Find the percentage of plants corresponding to these z-scores using a z-table or calculator.
P(-1.67 < Z < -0.33) = P(Z < -0.33) - P(Z < -1.67)

Using a z-table or calculator, we find:
P(Z < -0.33) ≈ 0.3707
P(Z < -1.67) ≈ 0.0475

Step 3: Calculate the percentage of plants between 10 and 14 inches.
Percentage = (0.3707 - 0.0475) * 100% ≈ 32.32%

Next, we look up the area between these two z-scores in a standard normal distribution table. This area represents the percentage of plants in the region between 10 and 14 inches tall.

As for the bonus, I'm unable to plot a graph here, but you can use graphing software to plot a normal distribution curve with a mean of 15 and a standard deviation of 3. Shade the area between 10 and 14 inches to represent the percentage of plants in this range.

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Answer:

Step-by-step explanation: 85% of college students prefer to shop on line, while they have access to internet 90% of the day.]

So by process of elimination, response 1 and 2 is speaking of better deals and students time which wasn't discussed in the scenario.  

Therefore, response 3 coincides with the convenience of the preferred reasoning for shopping online and response 4 falls into the internet access college students have 90% of the day.

So choices 3 and 4

The Beck Depression Inventory (BDI) would be an example of a measurement instrument.

A measurement instrument is a tool or technique used to measure or assess a particular variable or construct, in this case, depression. The BDI is a standardized self-report questionnaire that is widely used to assess the severity of depressive symptoms. It consists of 21 questions or items that ask the respondent to rate the intensity of their depressive symptoms on a 4-point scale. The total score on the BDI can be used to classify the severity of depression and guide treatment decisions.

In contrast, a variable is a characteristic or attribute that can take on different values or levels, such as age, gender, or income. Data refers to the collection of measurements or observations obtained from a particular study or investigation. Internal validity is a concept that refers to the extent to which a study is designed and conducted in a way that minimizes the potential for bias or confounding variables.

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In this scenario, we need to identify the null and alternative hypotheses. The null hypothesis represents the status quo or the current belief, while the alternative hypothesis represents the claim or what we want to test against the null hypothesis.

H0: The average time for Master's students to graduate is 4.9 years.
Ha: The average time for Master's students to graduate is less than 4.9 years (alternative hypothesis).

The null hypothesis (H₀) states that the average time it takes for students to graduate with a Master's degree is 4.9 years. The alternative hypothesis (Hₐ) represents the claim made by the dean, which is that Master's students at his university graduate earlier than 4.9 years.

So, the null and alternative hypotheses can be written as:

H₀: μ = 4.9
Hₐ: μ < 4.9

where μ represents the average time it takes for students to graduate with a Master's degree at the dean's university.

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The margin of error for the confidence interval with a 98% confidence level is 6.912. So, the correct answer is (f) 6.912. To find the margin of error of the confidence interval with a 98% confidence level for the scores of a standardized test, we'll follow these steps:

1. Identify the given values:
  - Population standard deviation (σ) = 12 points
  - Sample size (n) = 20 scores
  - Sample mean (x) = 99 points
  - Confidence level = 98%

2. Determine the appropriate z-score for a 98% confidence level. Since the remaining 2% is split evenly on both tails, we'll look for the z-value corresponding to 0.01 (1% in the tails). From the provided values, z0.01 = 2.576.

3. Calculate the standard error (SE) of the sample mean using the formula:
  SE = σ / √n = 12 / √20 ≈ 2.683

4. Calculate the margin of error (ME) using the formula:
  ME = z-score * SE = 2.576 * 2.683 ≈ 6.912

The margin of error for the confidence interval with a 98% confidence level is 6.912. So, the correct answer is (f) 6.912.

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The margin of error at a 98% confidence level is c) 5.259 points.

To determine the margin of error at a 98% confidence level, we need to calculate the critical value, which corresponds to the confidence level.

In this case, the critical value is 2.326, which can be found in the standard normal distribution table.

Therefore, the margin of error at a 98% confidence level is c) 5.259 points.

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The area between z=-1.3 and z=1.4 under the standard normal curve is approximately 0.8224.

To find the area of the indicated region under the standard normal curve, we need to use a standard normal distribution table or a calculator.

Using a standard normal distribution table, we can find the area to the left of z=-1.3, which is 0.0968. We can also find the area to the left of z=1.4, which is 0.9192.

To find the area between z=-1.3 and z=1.4, we subtract the area to the left of z=-1.3 from the area to the left of z=1.4:

0.9192 - 0.0968 = 0.8224

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