Briefly explain steps that are required to run a regression on a specific model
In: Statistics and Probability
Moment generating functions
In: Statistics and Probability
Determine the point estimate of the population proportion, the margin of error for the following confidence interval, and the number of individuals in the sample with the specified characteristic, x, for the sample size provided.
Lower bound=0.226,upper bound=0.604,n=1200
The point estimate of the population is? round to the nearest thousandth as needed.
the margin error is? round to the nearest thousandth as needed.
the number of individuals in the sample with the specified characteristic is? round to the nearest integer as needed.
In: Statistics and Probability
To test the Ho: u = 40 versus Hi: u < 40, a random sample of size n = 26 is obtained from a population that is known to be normally distributed. Complete (a) through (d).
if x = 36.8 and s = 13.9, compute the test statistic.
to = ??? (round to three decimals as needed)
a) ta = ??? (round to three decimal places. Use a comma to separate answers)
b) If the researcher decides to test this hypothesis at the a = 0.1 level of significance, determine the critical value(s). Although technology or a t-distribution table can be sued to find critical value, in this problem use the t-distribution table given.
c) Draw a t-distribution that depicts the critical region.
d) Will the researcher reject the null hypothesis?
Yes because the test statistic falls in the critical region
Yes because the test statistic does not fall in the critical region
No because the test statistic does not fall in the critical region
In: Statistics and Probability
Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Independent samples from two different populations yield the following data. The sample size is 478 for both samples. Find the \(85 \%\) confidence interval for \(\mu_{1}-\mu_{2}\).
\(\bar{x}_{1}=958, \bar{x}_{2}=157, s_{1}=77, s_{2}=88\)
A. \(800<\mu_{1}-\mu_{2}<802\)
B. \(791<\mu_{1}-\mu_{2}<811\)
C. \(793<\mu_{1}-\mu_{2}<809\)
D. \(781<\mu_{1}-\mu_{2}<821\)
In: Statistics and Probability
A nurse measured the blood pressure of each person who visited her clinic. Following is a relative-frequency histogram for the systolic blood pressure readings for those people aged between 25 and 40. The blood pressure readings were given to the nearest whole number. Approximately what percentage of the people aged 25-40 had a systolic blood pressure reading between 110 and 119 inclusive?
In: Statistics and Probability
The following graph represents the results of a survey, in which a random sample of adults in a certain country was asked if a certain action was morally wrong in general. Complete parts (a) through (c).
(a) What % of the respondents believe that the action is morally acceptable? (round to nearest whole number as needed)
(b) If there are 217 adults million adults in the country, how many believe that the action is morally wrong? (round to nearest million as needed)
(c) If a polling organization claimed that the results of the survey indicate that 9% of adults believe that the action is acceptable in certain situations, would you say this statement is descriptive or inferential? Why?
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in a relative frequency distribution, what should the relative frequencies add up to?
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Heights of college women have a distribution that can be approximated by a normal curve with a mean of 65 inches and a standard deviation equal to 3 inches. About what proportion of college women are between 65 and 67 inches tall?
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Mr. Smith had four daughters, each daughter have four brothers how many Kids did Mr. Smith have?
In: Statistics and Probability
Pulse rates of women are normally distributed with a mean of 77.5 beats per minute and a standard deviation of 11.6 beats per minute. Answer the following questions.
What are the values of the mean and standard deviation after converting all pulse rates of women to z scores using \(\mathrm{z}=\frac{(\mathrm{x}-\mu)}{\sigma}\) ?
The original pulse rates are measure with units of "beats per minute". What are the units of the corresponding z scores? Choose the correct choice below.
In: Statistics and Probability
For bone density scores that are normally distributed with a mean of 0 and a standard deviation of 1, find the percentage of scores that are
a. significantly high (or at least 2 standard deviations above the mean).
b. significantly low (or at least 2 standard deviations below the mean).
c. not significant (or less than 2 standard deviations away from the mean).
In: Statistics and Probability
Find the indicated area under the curve of the standard normal distribution, then convert it to a percentage and fill in the blank.
About _____% of the area is between z=?2.2 and z=2.2 (or within 2.2 standard deviations of the mean).
About?____% of the area is between z=?2.2 and z=2.2 (or within 2.2 standard deviations of the mean).
(Round to two decimal places as needed.)?
In: Statistics and Probability
Assume that a randomly selected subject is given a bone density test. Those test scores are normally distributed with a mean of 0 and a standard deviation of 1. Find the probability that a given score is less than -1.82 and draw a sketch of the region.
Assume the readings on thermometers are normally distributed with a mean of 0degrees C and a standard deviation of 1.00degrees C. Find the probability that a randomly selected thermometer reads greater than -1.11 and draw a sketch of the region.
If you could explain how to use the normal distribution table that would be great.
In: Statistics and Probability
a) Find the area of the shaded region. The graph depicts the standard normal distribution of bone density scores with mean 0 and standard deviation 1.
b) Find the area of the shaded region. The graph depicts the standard normal distribution of bone density scores with mean 0 and standard deviation 1.
In: Statistics and Probability