1. Write the null and alternative hypthesis 2. Sketch a picture of this situation. Label and scale the horizontal axis, and shade the region(s) corresponding to the p-value.3. Include the correct decision ("reject" or "do not reject" the null hypothesis), the reason for it, and write the appropriate conclusion. The marital status distribution of the U.S. male population, age 15 and older, is as shown below.Percent31.356.12.5divorced/separated10.1Suppose that a random sample of 400 U.S. young adult males, 18 to 24 years old, yielded the following frequency distribution. We are interested inwhether this age group of males fits the distribution of the U.S. adult population at the 5% level. Calculate the frequency one would expect whensurveying 400 people. Fill in the table below, rounding to two decimal places.Frequency Expected FrequencyMarital Statusnever marriedmarriedwidowedMarital Statusnever marriedmarriedwidowed1362413divorced/separated 20

The marital status distribution of the U.S. male population, age 15 and older, is as above .…

Write the null and alternative hypthesis 2. Sketch a picture of this situation. Label and scale the horizontal axis, and shade the region(s) corresponding to the p-value. 3. Include the correct decision ("reject" or "do not reject" the null hypothesis), the reason for it, and write the appropriate conclusion.

Write the null and alternative hypthesis 2. Sketch a picture of this situation. Label and scale the horizontal axis, and shade the region(s) corresponding to the p-value. 3. Include the correct decision ("reject" or "do not reject" the null hypothesis), the reason for it, and write the appropriate conclusion.

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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Write the claim and the null and the alternate hypotheses. 2. Identify α. 3. Draw a distribution to represent it and identify the critical value(s). 4. Write the inequality that identifies the rejection area(s). 5. Find the test statistic, p-value, and the correlation coefficient. 6. Make a decision about your test. 7. Write a sentence describing your decision about the claim in context with the problem.
A researcher believes that more than half of college students average less than 6 hours of sleep per night during the week. Suppose she collected data to test her belief and found a p-value < 0.0001. Fill in the information for her hypothesis test below. Type of test: a. Left-tail b. Right-tail c. Two-tail
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A plumber was interested in determining whether there is a significant difference in the price charged for plumbing tools by two hardware stores. The plumber selected five tools and recorded the price for each tool in each store. The following data was recorded: Store 1 2 Tool 2 R59.25 R22.50 R450 R44.25 R22.50 R36.75 R75 4 R480 R44.25 R60 Perform the appropriate test of hypothesis to determine whether there is a significant difference, on average, in the price of plumbing tools between the two stores, showing all 7 steps. Include both the rejection region and the p-value.
1. For each row of the table you are given a p-value and a level of significance (a). Determine which hypothesis is supported, if the data are significant and which type error could be made. If a given p- value is not a valid p-value (because it is greater than 1), put an x in each box in therow. p-value Hypothesis Họ or H1 Significant or Not Significant Error Type I or Type II 0.043 0.05 0.32 0.05 0.043 0.01 0.0035 0.01 0.043 0.10 0.15 0.10 5.6 x 106 0.05 7.3256 0.01 2. For the hypothesis test, write the concluding sentence in the form used by researchers. Context: Support paying off student dept, H1: p 8 ft, p-value-5.6 x 10°, a=0.05, n=56. 4. For the hypothesis test, write the concluding sentence in the form used by researchers. Context: Blood pressure for men and women, H1: Hw # HM ft, p-value3D0.0035, a=0.01, n=2403.
A student compared organic food prices at Grocery 1 and Grocery 2. The same items were priced at each store. The first three items are shown in the accompanying Figure A. Choose the correct accompanying output (B or C) for the appropriate test, explaining why you chose that output. Then test the hypothesis that the population means are not equal using a significance level of 0.05. Assume i Figure A and Outputs Click the icon to view Figure A and the outputs. Which is the correct output (B or C) for the appropriate test? Explain. (Figure A) Food Grocery 1 0.89 Grocery 2 0.99 A. Output B is appropriate because the data are paired samples. Bananas/1 Ib Grape tomatoes/1 Ib Russet potato/5 Ib 4.19 4.49 B. Output C is appropriate because there are two samples. 4.69 4.49 C. Output B is appropriate because n2 25. (Figure B) D. Output C is appropriate because the data are independent samples. N Mean StDev SE Mean Test the hypothesis that the population means are not equal using a significance…
info is given in the pic. HELP ASAP. 11) When using a hypothesis test with a = 0.05 to determine if the there is a differencebetween the two evaluators, what are the critical values for the hypothesis test?A) -1.65 and 1.65B) -1.96 and 1.96C) -2.228 and 2.228D) -2.201 and 2.201E) -2.080 and 2.080 12) When using a hypothesis test with a = 0.05 to determine if the there is a differencebetween the two evaluators, what is the test statistic for the hypothesis test?A) -0.32B) -2.73C) -1.01D) -1.06E) -0.54 13) The categorical variable marital status has the following values: single, married,separated, divorced, and widowed. To include marital status in a multiple regressionmodel, how many indicator variables will be included?A) ThreeB) TwoC) FiveD) OneE) Four
d) Write a conclusion based on the results. Choose the correct answer below.Pick one of the bolded words below. Reject/Do not reject the null hypothesis and claim that there is/is not sufficient evidence to conclude that the population mean is greater/less than 23
The Bem Sex Role Inventory (BSRI) provides independent assessments of masculinity and femininity in terms of the respondent's self-reported possession of socially desirable, stereotypically masculine and feminine personality characteristics. Alison Konrad and Claudia Harris sought to compare men in Bem's 1974 sample to men 25 years later on their judgments of the desirability of 40 masculine, feminine, or androgynous traits. Suppose that the following are the scores from a hypothetical sample of the 1974 male respondents for the attribute Gentle. 1 1 1 2 1 Calculate the mean, degrees of freedom, variance, and standard deviation for this sample. M df s2 %3D S %3D Suppose that the following are the scores from a hypothetical sample of the 1999 male respondents for the attribute Acts as Leader. 1 3 6 7 1 3 Calculate the mean, degrees of freedom, variance, and standard deviation for this sample. M %3D df %3D I| || II
The alternative hypothesis is also called the: A. Null hypothesis B. Statistical hypothesis C. Research hypothesis D. Simple hypothesis
Describe type I and type Il errors for a hypothesis test of the indicated claim. A furniture store claims that no more than 60% of its new customers will return to buy their next piece of furniture. Describe the type error. Choose the correct answer below. A. A type error will occur when the actual proportion of new customers who return to buy their next piece of furniture is no more than 0 60 but you reject Ho p≤0.60. B Atype error will occur when the actual proportion of new customers who return to buy their next piece of furniture is at least 0 60, but you reject H, p=0.60 C. A type l error will occur when the actual proportion of new customers who return to buy their next piece of furniture is at least 0.60, but you fail to reject H, p=0.60 D Atype 1 error will occur when the actual pro ortion of new customers who return to buy their next piece of furniture is Clear all Check answer
2. Consider the null hypothesis Ho:p = 0.18 indicates that the proportion of fat content of the burgers being sold in the canteen is 18% or less. Which of the following is true about the type l and type II error? A. A type I error occurs when the actual proportion is about 18% or more, but the null hypothesis is rejected. A type II error when the actual proportion is about18% or less but the null hypothesis is rejected. B. A type I error occurs when the actual proportion is about 18% or less, but the null hypothesis is rejected. A type II error occurs when the actual proportion is about 18% or more, but the null hypothesis is accepted. C. Atype I error occurs when the actual proportion is about 18% or more, but the null hypothesis is accepted. A type II error occurs when the actual proportion is about 18% o less, but the null hypothesis is rejected. D. AtypeIerror occurs when the actual proportion is about 18%, and the null hypothesis is rejected. A type II error occurs when the actual…