Statistics 1. Ho: μ = 50 Hypothesis Testing One Sample H₂: o=5 n = 36 xbar = 49 significance level = 0.05 __crit = _stat = α = pvalue= tail

on 5 of 21 The heights of women aged 20-29 in the United States are approximately Normal with mean 64.1 inches and standard deviation 3.7 inches. Men the same age have mean height 69.4 inches, with standard deviation 3.1 inches. Cheryl D. Fryar et al., "Anthropometric reference data for children and adults: United States, 2011-2014," Vital and Health Statistics, Series 3, no. 39 (August 2016), at www.cdc.gov/nchs. This report provides the means of various anthropometric measurements. Standard deviations were computed from the sample size and reported standard errors of the mean. Instructions on measuring upper arm length are in the National Health and Nutrition Examination Survey: Anthropometry Procedures Manual, January 2007. Side-by-Side O Macmillan Learning What is the z-score for a woman 5.5 feet tall? Give your answer to two decimal places. Z =

0.6.3 Question 3 Is the cubic effect significant? How about quadratic and linear effects?   Analysis of Variance Table   Response: EX           Df Sum Sq Mean Sq F value    Pr(>F)    MET        1    332     332  0.1246 0.7257742    I(MET^2)   1  37504   37504 14.0572 0.0005141 *** I(MET^3)   1   7245    7245  2.7154 0.1065086    Residuals 44 117390    2668       > anova(quadModel) Analysis of Variance Table Response: EX Df Sum Sq Mean Sq F value Pr(>F) MET 1 332 332 0.120 0.7306134 I(MET^2) 1 37504 37504 13.541 0.0006216 *** Residuals 45 124635 2770 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

I need help with stats/2023, section 7.2 and 7.3, please help with TI-84 commands   A car company says that the mean gas mileage for its luxury sedan is at least 22 miles per gallon​ (mpg). You believe the claim is incorrect and find that a random sample of 5 cars has a mean gas mileage of 21 mpg and a standard deviation of 5mpg. At α=0.10​, test the​ company's claim. Assume the population is normally distributed.   Which sampling distribution should be used and​ why?   A.  Use a normal sampling distribution because the population is​ normal, and σ is known.   B. Use a normal sampling distribution because the population is​ normal, and σ is unknown.   C.  Use a​ t-sampling distribution because the population is​ normal, and σ is unknown.   D. Use a​ t-sampling distribution because n<30.   E.  Use a​ t-sampling distribution because the population is​ normal, and σ is known F.  Use a normal sampling distribution because n>30.   Write out the appropriate hypotheses…

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