Use the table of values and the expected frequencies to calculate the residual values and the chi squaretest statistic x.XYA 25 56 31B 47 35 28Expected FrequenciesYA 36.324 45.91 29.766B 35.676 45.09 29.234Round all values to 3 decimal placesYThe Chi Square Test StatisticX =

Answered: Use the table of values and the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A student who took Stat 2 last semester learns that their overall course score was at the 85th percentile. Assuming that a histogram of all the Stat 2 course scores from last semester follows the normal curve, this means that this student had a score that was how many SDs above the average score? Choose the answer that is closest. Group of answer choices 1.15 1.05 1.10 1.0 PreviousNext
K Suppose the data represent the inches of rainfall in April for a certain city over the course of 20 years. Determine the quartiles. What are the quartiles? =0 (Round to three decimal places as needed.) Q₁ = 0.98 2.54 4.09 1.29 3.02 4.32 1.47 3.24 4.51 1.88 3.38 4.76 2.27 3.73 5.14 5.42 5.84 6.01 6.33 6.43 Inc
How many caffeine drinks per day Count of how many caffeine drinks per day 3 61 2 54 4 38 1 31 0 27 5 23 6 14 7 5 8 5 10 1 2.5 1 1.5 1 9 1 Grant total 262 Calculate the mean, standard deviation, and variance for the variable “How many caffeine drinks per day”. What is the median and range “How many caffeine drinks per day” Determine the first quartile (Q1), third quartile (Q3), and interquartile range (IQR) for the variable “How many caffeine drinks per day”. Calculate the lower and upper limits using the quartile method to determine if there are any outliers for the variable “How many caffeine drinks per day”. Calculate the lower and upper limits using the standard deviation method to determine if there are any outliers for the variable “How many caffeine drinks per day”.
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The time to complete an exam is approximately Normal with a mean of 41 minutes and a standard deviation of 7 minutes. The bell curve below represents the distribution for testing times. The scale on the horizontal axis is equal to the standard deviation. Fill in the indicated boxes. µ = 41 o = 7 H- 30 u-20 µ-o u+o µ+20 µ+30
The time to complete an exam is approximately Normal with a mean of 43 minutes and a standard deviation of 5 minutes. The bell curve below represents the distribution for testing times. The scale on the horizontal axis is equal to the standard deviation. Fill in the indicated boxes.
Calculate the sample mean and sample standard deviation of the test scores. Test Scores Frequency 40 49 50 59 8 60 69 4 70 - 79 1 80 89 7 90 99 10 Round your answer to two decimal places. Mean = Standard Deviation = Question Help: D Video Check Answer Type here to search F1 F2 F3 F4 F5 F6 F7 F8 F9 #3 & 4. 7 8. W Y CO 立

The time to complete an exam is approximately Normal with a mean of 45 minutes and a standard deviation of 4 minutes. The bell curve below represents the distribution for testing times. The scale on the horizontal axis is equal to the standard deviation. Fill in the indicated boxes.. μ-20 μισ μ-36 μ-20 μ μ+o μ=45 σ = 4 μ+20 μ+30
40
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. Refer to the accompanying data set. Use a 0.01 significance level to test the claim that women and men have the same mean diastolic blood pressure. E Click the icon to view the data for diastolic blood pressure for men and women. O A. H H=H H: H >2 O B. H H <2 H =2 O P. H H =2 H 2 OC. H: HHz Calculate the test statistic. t= (Round to two decimal places as needed.) Find the P-value. P-value = (Round three decimal places as needed.) Make a conclusion about the null hypothesis and a final conclusion that addresses the original claim. H. There V sufficient evidence to warrant rejection of the claim that women and men have the same mean diastolic blood pressure. Reject nswer(s) Fail to reject Show All a Persuasive Spee.doc a PersuasiveSpch.doc a SamplePPTforP.pptx a Persuasive Spe.docx stv MacBook Air 888 FA esc F1…
K A person's body mass index (BMI) is computed by dividing the weight (kg) by the square of height (m). The accompanying table contains the BMI statistics for random samples of males and females. Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. Let population 1 be females. Complete parts (a) through (c) below. Click the icon to view the table of statistics. D. Ho: H1 H2 H₁: H1 H2 Statistics Female BMI: n = 70 x=29.35 S=7.18 Male BMI: n=82 x=28.45 S=5.53 The test statistic is (Round to two decimal places as needed.) The P-value is (Round to three decimal places as needed.) State the conclusion for the test. the null hypothesis. There Print Done sufficient evidence to warrant rejection of the claim that females and males have the same mean BMI. b. Construct a confidence interval appropriate for testing the claim in part (a). The % confidence interval…
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Use the table of values and the expected frequencies to calculate the residual values and the chi square test statistic x. XY A 25 56 31 B 47 35 28 Expected Frequencies Y A 36.324 45.91 29.766 B 35.676 45.09 29.234 Round all values to 3 decimal places Y